daniyasiddiquiEditor’s Choice
Asked: 17/10/2025In:

tariffs / trade policy risks going fo ...

geopoliticsglobaltradesupplychainstariffstradepolicyuschinarelations
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

    1) Why tariffs matter now (the big-picture drivers) Two things changed recently: (a) major economies — especially the U.S. — raised or threatened broad tariffs in 2025, and (b) geopolitical friction (notably U.S.–China tensions) pushed firms to re-think where they make things. That combination turnsRead more

    1) Why tariffs matter now (the big-picture drivers)

    Two things changed recently: (a) major economies — especially the U.S. — raised or threatened broad tariffs in 2025, and (b) geopolitical friction (notably U.S.–China tensions) pushed firms to re-think where they make things. That combination turns tariff announcements from abstract policy into real costs and rearranged supply chains. The WTO and IMF both flagged trade-policy uncertainty as a downside risk to growth in 2025–26.

    2) The transmission channels — how tariffs actually bite

    • Higher consumer prices (import pass-through): Tariffs act like taxes on imported goods. Some of that cost is absorbed by exporters, some passed to consumers. Recent data suggest U.S. import prices rose where new duties applied. That raises headline inflation and can lower purchasing power. 

    • Input-cost shock for industry: Tariffs on intermediate goods raise manufacturers’ costs (electronics components, chemicals), squeezing margins or forcing price increases downstream.

    • Supply-chain re-routing and front-loading: Firms often ship sooner to beat a tariff or divert production to other countries — that creates temporary trade surges (front-loading) followed by weaker volumes. The WTO noted AI-goods front-loading lifted 2025 trade but warned of slower growth thereafter.

    • Investment and sourcing decisions: Persistent tariffs incentivize reshoring, nearshoring, or supplier diversification — which costs money and takes time. Capex may shift away from trade-exposed expansion toward local capacity or automation. 

    3) Who gets hit hardest (and who can adapt)

    • Consumers of imported finished goods (electronics, apparel, some foodstuffs) feel direct price increases. Studies in 2025 show imported goods became noticeably more expensive in markets facing new duties. 

    • Industries using global inputs (autos, semiconductors, pharmaceuticals) face margin pressure if inputs are tariffed and not easily substituted.

    • Export-dependent economies: Countries whose growth relies on exports may see demand shifts or retaliatory measures. The IMF and private banks have adjusted growth forecasts in response to tariff moves. 

    • Winners/Adapaters: Local producers of previously imported goods may benefit (at least short term). Also, countries positioned as alternative manufacturing hubs (Vietnam, Mexico, parts of Southeast Asia, India) can capture relocation flows — but capacity constraints, logistics, and labor skills limit how fast that happens.

    4) Macro and market-level effects (what to expect)

    • Short-term volatility, longer-term lower global growth: Tariffs raise prices and reduce trade efficiency. The WTO’s 2025 updates show trade growth was partly boosted by front-loading in the short run but that 2026 prospects are weaker. That pattern — temporary boost then drag — is what economists expect.

    • Inflation stickiness in some economies: If tariffs persist, they can keep a higher floor under inflation for tradable goods, complicating central-bank policy. The IMF is watching this as a downside risk. 

    • Sectoral winners/losers and realignment of global supply chains: Expect capex reallocation, more regional supply chains, and increased emphasis on technology enabling on-shoring (robotics, semiconductor investments). Financial markets will price in this realignment — some exporters lose, some domestic producers gain.

    5) Policy uncertainty matters as much as direct cost

    Tariffs aren’t just a one-off tax — they change expectations. If businesses believe tariffs will be long-lasting or escalate, they’ll invest differently (or delay investment), re-negotiate contracts, and move inventory strategies. That uncertainty reduces productive investment and raises the risk premium investors demand. Reuters and other outlets flagged rising policy unpredictability in 2025 as a meaningful growth risk. 

    6) Likelihood of escalation vs. negotiation

    There are two plausible paths:

    • Escalation: More broad-based or higher tariffs, wider country coverage, and retaliatory measures (this would amplify negative effects). Recent 2025 moves show the possibility of stepped-up tariffs, and China responded strongly to U.S. measures.

    • Truce/targeted deals: Negotiations, temporary truces, or targeted carve-outs could limit damage (we’ve seen temporary truce dynamics and talks in 2025). The scale of damage depends on whether tariff actions become permanent or are negotiated down. 

    7) Practical implications — what investors, companies, and policymakers should do

    For investors

    • Don’t treat “tariffs” as a binary doom signal. Instead, think in scenarios (low, medium, high escalation) and stress-test portfolio exposures.

    • Reduce single-country supply-chain exposure in sectors sensitive to input tariffs (autos, electronics). Consider diversification into regions benefiting from nearshoring.

    • Rotate toward quality, pricing-power stocks that can pass on higher input costs, and businesses with domestic demand and strong balance sheets.

    • Watch commodity and input-price plays — some sectors (basic materials, domestic manufacturing equipment) can benefit from reshoring and increased capex. 

    For companies

    • Re-evaluate procurement and contracts: longer contracts, alternative suppliers, and local inventory buffers.

    • Invest in automation if labor costs and on-shoring become favourable; that reduces sensitivity to labor cost differentials.

    • Hedge currency and input cost risks where feasible.

    For policymakers

    • Targeted relief and clear communication reduce needless front-loading and volatility; multilateral engagement (WTO, trade talks) can limit escalation. The WTO and IMF emphasize rule-based stability to prevent damage to growth.

    8) Quick checklist — what to watch next (actionable)

    1. New tariff announcements or executive orders from major economies (U.S., EU, China, India). Reuters and major outlets will flag these quickly. 

    2. WTO / IMF updates and country growth forecasts — they summarize the systemic impact. 

    3. Corporate guidance from multinationals (Apple, automakers, chipmakers) — look for mentions of input-cost pressure, re-shoring, and supply-chain disruption. 

    4. Trade volumes and front-loading signals in trade data (month-on-month import surges before tariff dates). The WTO flagged front-loading of AI goods in 2025.

    5. Currency and bond-market moves: if tariffs cause growth worries but keep inflation sticky, expect mixed signals in rates and currencies.

    9) Bottom line — how meaningful are tariffs going forward?

    Tariffs are material and meaningful in 2025: they have already altered trade flows, raised costs in certain categories, and injected persistent policy uncertainty that affects investment decisions and trade growth forecasts. But the degree of long-term damage depends on whether the measures become permanent and escalate, or whether negotiations and market adjustments (diversification, nearshoring) blunt the worst effects. The WTO and IMF see both short-term front-loading and a slower longer-term trade outlook — a nuanced picture, not a single headline. 

    If you want, I can:

    • Run a short sector-scan of publicly traded companies in your region to flag which ones are most exposed to tariffs (by percentage of imported inputs), or

    • Build a two-scenario portfolio sensitivity table (low-escalation vs high-escalation) to show expected P/L pressure on different sectors.

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mohdanasMost Helpful
Asked: 09/12/2025In:

creativity, critical thinking, and ac ...

academic integrityai in educationcreativitycritical thinkingedtechstudent outcomes
  1. mohdanas
    mohdanas Most Helpful

    1. How AI Is Genuinely Improving Student Outcomes Personalized Learning at Scale For the first time in history, education can adapt to each learner in real time. AI systems analyze how fast a student learns, where they struggle, and what style works best. A slow learner gets more practice; a fast leRead more

    1. How AI Is Genuinely Improving Student Outcomes

    Personalized Learning at Scale

    For the first time in history, education can adapt to each learner in real time.

    • AI systems analyze how fast a student learns, where they struggle, and what style works best.

    • A slow learner gets more practice; a fast learner moves ahead instead of feeling bored.

    • This reduces frustration, dropout rates, and academic anxiety.

    In traditional classrooms, one teacher must design for 30 50 students at once. AI allows one-to-one digital tutoring at scale, which was previously impossible.

    Instant Feedback = Faster Learning

    Students no longer need to wait days or weeks for evaluation.

    • AI can instantly assess essays, coding assignments, math problems, and quizzes.

    • Immediate feedback shortens the learning loop—students correct mistakes while the concept is still fresh.

    • This tight feedback cycle significantly improves retention.

    In learning science, speed of feedback is one of the strongest predictors of improvement AI excels at this.

    Accessibility & Inclusion

    AI dramatically levels the playing field:

    • Speech-to-text and text-to-speech for students with disabilities

    • Language translation for non-native speakers

    • Adaptive pacing for neurodiverse learners

    • Affordable tutoring for students who cannot pay for private coaching

    For millions of students worldwide, AI is not a luxury it is their first real access to personalized education.

    Teachers Gain Time for Meaningful Teaching

    Instead of spending hours on:

    • Grading

    • Attendance

    • Quiz creation

    • Administrative paperwork

    Teachers can focus on:

    • Mentorship

    • Discussion

    • Higher-order thinking

    • Emotional and motivational support

    When used well, AI doesn’t replace teachers, it upgrades their role.

    2. The Real Risks: Creativity, Critical Thinking & Integrity

    Now to the other side, which is just as serious.

    Risk to Creativity: “Why Think When AI Thinks for You?”

    Creativity grows through:

    • Struggle

    • Exploration

    • Trial and error

    • Original synthesis

    If students rely on AI to:

    • Write essays

    • Design projects

    • Generate ideas instantly

    Then they may consume creativity instead of developing it.

    Over time, students may become:

    • Good at prompting

    • Poor at imagining

    • Skilled at editing

    • Weak at originality

    Creativity weakens when the cognitive struggle disappears.

    Risk to Critical Thinking: Shallow Understanding

    Critical thinking requires:

    • Questioning

    • Argumentation

    • Evaluation of evidence

    • Logical reasoning

    If AI becomes:

    • The default answer generator

    • The shortcut instead of the thinking process

    Then students may:

    • Memorize outputs without understanding logic

    • Accept answers without verification

    • Lose patience for deep reasoning

    This creates surface learners instead of analytical thinkers.

    Academic Integrity: The Trust Crisis

    This is currently the most visible risk.

    • AI-written essays are difficult to detect.

    • Code generated by AI blurs authorship.

    • Homework, reports, even exams can be auto-generated.

    This leads to:

    • Credential dilution (“Does this degree actually prove skill?”)

    • Unfair advantages

    • Loss of trust between teachers and students

    Education systems are now facing an integrity arms race between AI generation and AI detection.

    3. The Core Truth: AI Is a Cognitive Amplifier, Not a Moral Agent

    AI does not:

    • Teach values

    • Build character

    • Develop curiosity

    • Instill discipline

    It only amplifies what already exists in the learner.

    • A motivated student becomes faster and sharper.

    • A disengaged student becomes more dependent and passive.

    So the outcome depends less on AI itself and more on:

    • How students are trained to use it

    • How teachers structure learning around it

    • How institutions define assessment and accountability

    4. When AI Strengthens Creativity & Thinking (Best-Case Use)

    AI improves creativity and reasoning when it is used as a thinking partner, not a replacement.

    Good examples:

    • Students generate their own ideas first, then refine with AI

    • AI provides alternative viewpoints for debate

    • Students critique AI-generated answers for accuracy and bias

    • AI is used for simulations, not final conclusions

    In this model:

    • Human thinking stays primary

    • AI becomes a cognitive accelerator

    This leads to:

    • Deeper exploration

    • More experimentation

    • Higher creative output

    5. When AI Undermines Learning (Worst-Case Use)

    AI becomes harmful when it is used as a thinking substitute:

    • “Write my assignment.”

    • “Solve this exam question.”

    • “Generate my project idea.”

    • “Make my presentation.”

    Here:

    • Learning becomes transactional

    • Effort collapses

    • Understanding weakens

    • Credentials lose meaning

    This is not a future risk it is already happening in many institutions.

    6. The Future Will Demand New Skills, Not No Skills

    Ironically, AI does not reduce the need for human thinking it raises the bar for what humans must be good at:

    Future-proof skills include:

    • Critical reasoning

    • Ethical judgment

    • Systems thinking

    • Emotional intelligence

    • Creativity and design thinking

    • Problem framing (not just problem solving)

    Education systems that continue to test:

    • Memorization

    • Formulaic writing

    • Repetitive problem solving

    Will become outdated in the AI era.

    7. Final Balanced Answer

    Does AI-driven learning improve outcomes?
    Yes.

    • It personalizes education.

    • It accelerates learning.

    • It expands access.

    • It reduces administrative burdens.

    • It improves skill acquisition.

    Does it risk undermining creativity, critical thinking, and integrity?
    Also yes.

    • If used as a shortcut instead of a scaffold.

    • If assessment systems stay outdated.

    • If students are not trained in ethical use.

    • If originality is no longer rewarded.

    The Real Conclusion

    AI will not make students smarter or dumber by itself.
    It will make visible what education systems truly value.

    If we reward:

    • Speed over depth → we get shallow learning.

    • Output over understanding → we get dependency.

    • Grades over growth → we get academic dishonesty.

    But if we redesign education around:

    • Thinking, not typing

    • Reasoning, not regurgitation

    • Creation, not copying

    Then AI becomes one of the most powerful educational tools ever created.

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daniyasiddiquiEditor’s Choice
Asked: 11/10/2025In:

a country improve its terms of trade

international tradelarge country assumptiontariffsterms of tradetrade policywelfare economics
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

     What "Terms of Trade" Actually Is Terms of trade (ToT) quantify the value of a nation's exports in relation to its imports. Simply put, it is the rate at which you exchange what you sell to the world for what you purchase from it. Terms of Trade  Export Prices Import Prices Terms of Trade Import PrRead more

     What “Terms of Trade” Actually Is

    Terms of trade (ToT) quantify the value of a nation’s exports in relation to its imports. Simply put, it is the rate at which you exchange what you sell to the world for what you purchase from it.
    Terms of Trade 
    1. Export Prices
    2. Import Prices
    3. Terms of Trade
    4. Import Prices
    5. Export Prices
    If your prices for exporting are higher or your prices for importing are lower, your terms of trade are better — i.e., you can purchase more imports with the same number of exports.
    Increasing your terms of trade is essentially negotiating a better bargain in international trade — you pay less and receive more. All countries would be happy about that.

     The Theory: The “Optimal Tariff” Argument

    That’s where economics comes in with the concept of the optimal tariff — an idea that goes back to the early 20th century, with economists such as Bickerdike and Johnson.
    The thinking is this:
    • Assume your nation is big enough in global trade to make a difference in world prices (such as the U.S., EU, or China).
    • You put a tariff on imports — 10%, for example.
    • Foreign exporters have increased obstacles to selling into your market.
    • To maintain their commodities competitive, they may reduce their export prices.
    If that is the case, your nation pays less for imports, but your exports remain at about the same price.

    Your terms of trade are better.

    In this case, some of the burden of the tariff is placed on foreign producers instead of your domestic consumers. You receive better prices from overseas, and the revenue from the tariff contributes to your national income.
    In the theoretical economic world alone, that’s a win-win — at least for your nation.

    Why It Only Works for “Large” Economies

    The important assumption here is that the nation has market power — the capacity to influence world prices.
    • A small economy (such as Nepal or Costa Rica) can’t; world prices are determined by much bigger markets. Any tariff it levies simply increases local prices and penalizes its own citizens.
    • A big economy (such as the U.S., China, or the EU) can shape world demand sufficiently that foreign producers may pass on some of the tariff by reducing prices.

    That’s why this concept is referred to as the “optimal tariff” — it’s the tariff that optimizes the welfare of a country by enhancing its terms of trade just sufficient to cover the loss of efficiency from restricting trade.

    But There’s a Catch: Retaliation

    In real life, the world economy is not a game with one player. When one large nation applies tariffs, others retaliate.
    • This reprisal negates any initial gain due to improved terms of trade and usually leads to a trade war, lowering world welfare for all.
    • Throughout the U.S.–China trade war (2018–2020), both countries applied tariffs to shield their own industries and enhance bargaining leverage.
    • Rather than enhancing terms of trade, both countries incurred greater import prices, dislocated supply chains, and reduced growth.
    • Economists subsequently calculated the alleged “gains” from better trade terms as entirely offset by losses to consumers and exporters.
    So, theory may tell us that an optimal tariff makes things better, but the reality is that retaliation murders the gain.

    Contemporary Complexity: Global Value Chains

    One other reason the theory falls apart today is the nature of contemporary trade.
    • Years ago, nations primarily exchanged finished goods: one country sold cars, another textiles. Nowadays, production is splintered across borders — a product can travel 5–6 countries before it is delivered to consumers.
    • Placing a tariff on “imports” usually means levying taxes on components and materials your industries require. That increases costs for manufacturers at home, undermines exports, and can deteriorate your terms of trade instead of enhancing them.
    So, something that could have succeeded in the 1950s no longer works for the highly interdependent 2025 world economy.

     The Human Angle: Winners and Losers

    Even in theory, when a nation improves its national terms of trade by raising a tariff, not all are winners.
    • Consumers pay more — they lose purchasing power.
    • Protected industries win in the short term, with less foreign competition.
    • Exporters usually lose when trading nations retaliate.
    Poor families will hurt the most, as tariffs usually target first imported necessities (fuel, food, or technology).
    So, although the country’s overall well-being may appear healthier on paper, the effects on distribution can prove to be politically charged.

    Historical Examples

    The American Smoot-Hawley Tariff Act (1930): Meant to defend American farmers and enhance terms of trade, it actually unleashed a worldwide retaliation that further exacerbated the Great Depression.
    The U.S.–China Tariffs (2018–2020): Designed to better America’s trade position, they increased consumer prices and damaged manufacturing exports. Analysis concluded that there was nearly no net gain in U.S. terms of trade after allowing for retaliation.
    India’s selective import tariffs in recent years demonstrate that low, sector-specific duties can short-term spur domestic production, but the overall benefits are frequently balanced by more expensive imports and reduced export growth.

    In Summary

    So, can a nation enhance its terms of trade by raising a tariff?
    In theory, yes — if it’s a large economy, if the tariff is small, and if other countries don’t retaliate.
     In practice, nearly never — because international interdependence and political reaction undo those gains.
    The reality is:
    Tariffs are like painkillers — they may provide temporary relief, but excessive use creates greater long-term harm.
    Whereas a wisely calibrated tariff could temporarily adjust trade terms to benefit a dominant country, consumer welfare, global trust, and economic efficiency costs are typically far greater than the gains. Cooperation and open trade continue to be the longer-run run more sustainable way to raise welfare and prosperity in today’s global economy.
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daniyasiddiquiEditor’s Choice
Asked: 12/10/2025In:

India upgrading its engagement with t ...

diplomatic recognitionembassy reopeningforeign policyindia–afghanistan relationss. jaishankartaliban government
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

    India’s Renewed Outreach to Afghanistan: A Delicate Diplomatic Shift Yes, India is indeed upgrading its engagement with the Taliban government in Afghanistan and is reportedly planning to reopen its embassy in Kabul after more than three years of limited operations. This marks a significant — and caRead more

    India’s Renewed Outreach to Afghanistan: A Delicate Diplomatic Shift

    Yes, India is indeed upgrading its engagement with the Taliban government in Afghanistan and is reportedly planning to reopen its embassy in Kabul after more than three years of limited operations. This marks a significant — and cautious — recalibration in New Delhi’s foreign policy toward a country with which it shares deep historical, cultural, and economic ties.

    Background: From Withdrawal to

    Reconnection

    When the Taliban seized power in August 2021, India, like most other nations, swiftly evacuated its diplomats and suspended its official presence in Kabul. At that time, New Delhi’s stance was one of wait and watch, reflecting deep concern about the Taliban’s past links to terrorism and their implications for India’s security interests, particularly regarding Pakistan-based extremist groups.

    But ever since the past two years, ground realities have shifted. The Taliban, as it sought world legitimacy and economic relief, was more amenable to initiate negotiations. India, for its part, realizes that it is neither strategically nor long-term viable to fully isolate Afghanistan — especially since China, Pakistan, Iran, and Russia have all maintained or expanded their presence in Afghanistan.

     Plans to Reopen the Embassy

    It is said that India has been making logistical and security preparations to re-establish its full-fledged embassy in Kabul, which has been operating in a limited form since 2022 under a “technical mission.”

    It has largely handled the distribution of humanitarian assistance, monitoring of development projects, and visas for Afghan students and patients traveling to India.

    A formal re-opening would be India’s most openly diplomatic engagement with the Taliban government so far — an exercise of pragmatism and symbolism. It signifies India’s desire to exercise influence over Afghanistan and protect its investments, which amount to over $3 billion in infrastructure and relief activities since 2001.

     India’s Strategic Motivations

    India’s fresh initiative is driven by a mix of security, economic, and geopolitical interests:

    • Counteracting Pakistani Influence: Pakistan has dominated Kabul for decades. Reopening an embassy enables India to restore a foothold and ensure that Afghan ground is not used against India.
    • Humanitarian Obligation: India has supplied wheat, medicine, and COVID-19 shots to Afghanistan despite the Taliban regime. Strengthening diplomatic ties enables smoother delivery of aid to Afghans.
    • Regional Stability: A stable Afghanistan is beneficial to India’s connectivity and trade interests in Central Asia, particularly under projects like the Chabahar Port and the International North-South Transport Corridor (INSTC).
    • Engagement over Isolation: India prefers to engage the de facto powers to influence developments rather than letting a vacuum fall into the lap of their rivals like China or Pakistan.

    Diplomatic Tightrope: Recognition vs. Engagement

    It must be noted that India has not yet recognized the Taliban regime officially, but nor will it do so at this time. It’s an issue of practical engagement more than political approval in order to restore its embassy.

    • New Delhi continues to hold out for inclusive politics, women’s empowerment, and counter-terror commitments as the terms of full diplomatic recognition.

    This realistic approach allows India to defend its interests without deviating from the general international belief of action under the leadership of the United Nations.

    Broader Implications & International Reactions

    • The international community has largely interpreted India’s action as a pragmatic and necessary step. The Western nations, many of whom have limited contact with the Taliban, view India as a trusted interlocutor who can help moderate the regime’s attitude.
    • While Afghans themselves, above all those recipients of Indian scholarships, medical aid, and development initiatives — have in general been welcoming the shift as one made by a friend over a long time, rather than an exchange ally.
    • India’s re-engagement with Afghanistan during the Taliban period is a diplomatic balance of the tightrope kind — a balancing act that is a mix of realism and humanitarian sensitivities. By reopening its embassy and upgrading relations, New Delhi aims to be a player in the changing political landscape of Afghanistan, protect its people-to-people ties, and prevent the country slipping further into isolation.

    It is a modest but important shift — one that reflects India’s growing self-assurance as a regional power that can promote its national interests without compromising moral and strategic imperatives.

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daniyasiddiquiEditor’s Choice
Asked: 27/12/2025In: ,

AI tool causes a clinical error

artificial intelligence regulationclinical decision support systemshealthcare law and ethicsmedical accountabilitymedical negligencepatient safety
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

    AI in Healthcare: What Healthcare Providers Should Know Clinical AI systems are not autonomous. They are designed, developed, validated, deployed, and used by human stakeholders. A clinical diagnosis or triage suggestion made by an AI model has several layers before being acted upon. There is, thereRead more

    AI in Healthcare: What Healthcare Providers Should Know

    Clinical AI systems are not autonomous. They are designed, developed, validated, deployed, and used by human stakeholders. A clinical diagnosis or triage suggestion made by an AI model has several layers before being acted upon.

    There is, therefore, an underlying question:

    Was the damage caused by the technology itself, by the way it was implemented, or by the way it was used?

    The answer determines liability.

    1. The Clinician: Primary Duty of Care

    In today’s health care setup, health care providers’ decisions, even in those supported by AI, do not exempt them from legal liability.

    If a recommendation is offered by an AI and the following conditions are met by the clinician, then:

    • Accepts it without appropriate clinical judgment, or
    • Neglects obvious signs that go against the result produced by AI,

    So, in many instances, the liability may rest with the clinician. AI systems are not considered autonomous decision-makers but rather decision-support systems by courts.

    Legally speaking, the doctor’s duty of care for the patient is not relinquished merely because software was used. This is supported by regulatory bodies, including the FDA in the United States, which considers a majority of the clinical use of AI to be assistive, not autonomous.

    2. The Hospital or Healthcare Organization

    Healthcare providers can be held responsible for damage caused by system-level issues, for instance:

    • Lack of adequate training among staff
    • Poor incorporation of AI in clinical practices
    • Ignoring known limitations of the system or warnings about safety

    For instance, if an AI decision-support system is required by a hospital in terms of triage decisions but an accompanying guideline is lacking regarding under what circumstances an override decision by clinicians is warranted, then the hospital could be held jointly liable for any errors that occur.

    With the aspect of vicarious liability in place, the hospital can be potentially responsible for negligence committed through its in-house professionals utilizing hospital facilities.

    3. AI Vendor or Developer

    Under product liability or negligence, AI developers can be made responsible, especially if negligence occurs in relation to:

    • Inherently Flawed Algorithm/Design Issues in Models
    • Biased or poor quality training data
    • Lack of Pre-Deployment Testing
    • Lack of disclosure of known limitations or risks

    If an AI system is malfunctioning in a manner inconsistent with its approved use, market claims, legal liability could shift toward the vendor. This leaves developers open to legal liability in case their tools end up malfunctioning in a manner inconsistent with their approved use

    But vendors tend to mitigate any responsibility for liability by stating that the use of the AI system should be under clinical supervision, since it is advisory only. Whether this will be valid under any legal system is yet to be tested.

    4. Regulators & Approval Bodies (Indirect Role)

    The regulatory bodies are not responsible for liability pertaining to clinical mistakes, but regulatory standards govern liability.

    The World Health Organization, together with various regulatory bodies, is placing a mounting importance on the following:

    • Transparency and explainability
    • Human-in-loop decision making
    • Continuous monitoring of AI performance

    Non-compliance with legal standards may enhance the validity of legal action against hospitals or suppliers in the event of injuries.

    5. What If the AI Is “Autonomous”?

    This is where the law gets murky.

    This becomes an issue if an AI system behaves independently without much human interference, such as in cases of fully automated triage decisions or treatment choices. The existing liability mechanism becomes strained in this scenario because the current laws were never meant for software that can independently impact medical choices.

    Some jurists have argued for:

    • Contingent liability schemes
    • Mandatory Insurance for AI MitsuruClause Insurance for AI
    • New legal categorizations for autonomous medical technologies

    At least, in today’s world, most medical organizations do not put themselves at risk in this manner, as they do, in fact, mandate supervision by medical staff.

    6. Factors Judged by the Court for Errors Associated with AI

    In applying justice concerning harm caused by artificial intelligence, the courts usually consider:

    • Was the AI used for the intended purpose?
    • Was the practitioner prudent in medical judgment?
    • Was the AI system sufficiently tested and validated?
    • Were limitations well defined?
    • Was there proper training and governance in the organization?

    The absence or presence of AI may not be as crucial to liability but rather its responsible use.

    The Emerging Consensus

    The general world view is that AI does not replace responsibility. Rather, the responsibility is shared in the AI environment in the following ways:

    • Healthcare Organizations: Responsible for the governance & implementation
    • Suppliers of AI systems: liable for secure design and honest representation

    This shared responsibility model acknowledges that AI is not a value-neutral tool or an autonomous system it is a socio-technical system that is situated within healthcare practice.

    Conclusion

    Consequently, it is not only technology errors but also system errors. The issue of blame in assigning liability focuses not on pinning down whose mistake occurred but on making all those in the chain, from the technology developer to the medical practitioner, do their share.

    Until such time as laws catch up to define the specific role of autonomous biomedical AI, being responsible is a decidedly human task. There is no question about the best course in either safety or legal terms. Being human is the key. Keep the responsibility visible, traceable, and human.

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daniyasiddiquiEditor’s Choice
Asked: 12/10/2025In: ,

“Adi Vaani,” being positioned as a to ...

adi vaaniai for social gooddigital preservationlanguage inclusionmultilingualtribal / indigenous languages
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

     India's "Adi Vaani": Multilingual AI for Inclusion and Global Leadership Indeed, India's new multilingual AI system, "Adi Vaani," is being actively framed as an instrument of language inclusion as well as a demonstration of India's increasing stature in international AI development. This effort mirRead more

     India’s “Adi Vaani”: Multilingual AI for Inclusion and Global Leadership

    Indeed, India’s new multilingual AI system, “Adi Vaani,” is being actively framed as an instrument of language inclusion as well as a demonstration of India’s increasing stature in international AI development. This effort mirrors India’s desire to integrate technological innovation with cultural and linguistic diversity — something few nations undertake at scale.

    Bridging Linguistic Diversity

    India alone has more than 22 officially spoken languages and thousands of regional dialects, so digital inclusivity is a serious challenge. Most AI platforms today are extremely biased towards English or other world-major languages and leave millions of citizens un-served in their local languages.

    “Adi Vaani” is built to comprehend, create, and communicate in various Indian languages, from Hindi, Tamil, Bengali, and Marathi to less commonly spoken languages such as Santali, Dogri, or Manipuri. The AI has the potential to:

    • Translate words and speech in real-time
    • Create locally pertinent content
    • Support education, government services, and healthcare provision

    This places the AI as a bridge between humans and technology, so digital transformation would not exclude non-English speakers.

     India’s Global AI Leadership Ambitions

    Aside from local inclusion, “Adi Vaani” is also a representation of India’s desire to become a leader in global AI innovation. With the development of a model capable of addressing multiple languages, India is showcasing technological abilities that are:

    • Culturally sensitive: The AI honors context, idioms, and subtleties in Indian languages.
    • Ethically aligned: Efforts are underway to minimize biases and provide safe, unbiased outputs.
    • Collaboratively adaptable: It can be employed by global institutions wanting to extend multilingual AI solutions elsewhere in the world with linguistic diversity.

    By way of “Adi Vaani,” India takes on the mantle not only as a consumer of AI technology but also as a global leader, able to solve problems that cannot be solved by large monolingual models.

     Uses Across Industries

    The potential uses are broad:

    • Education: Offering learning material in local languages, enabling children and adults to access quality material.
    • Governance: Enabling interaction between government services and citizenry who communicate in minority languages.
    • Healthcare: Providing AI-based telemedicine solutions and knowledge in local languages.
    • Business & Media: Facilitating content generation, marketing, and customer support on various linguistic markets.

    This renders “Adi Vaani” both a technological intervention and a social inclusion program.

    Challenges and Next Steps

    Surely, scaling a multilingual AI also poses challenges:

    • Scarcity of data for smaller languages
    • Sustaining accuracy and subtlety
    • Avoiding biases and harmful content

    Indian scientists are said to be merging government data sets, local studies, and community feedback to tackle these challenges. Furthermore, ethical frameworks are being prioritized in order to make the AI respect privacy, culture, and societal norms.

    A Step Towards Inclusive AI

    In reality, “Adi Vaani” is not just an AI model — it’s a mission statement. India is making a promise that it can excel in spaces where world technology leaders struggle, most importantly, inclusivity, cultural understanding, and practical impact.

    By combining technological capability with language diversity, India is looking to build an AI environment that’s globally competitive but locally empowering.

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daniyasiddiquiEditor’s Choice
Asked: 08/10/2025In:

the global economic recovery in 2026

economic recoveryglobal tradeinflationsupply chain disruptionstariffstrade policy
  1. daniyasiddiqui
    daniyasiddiqui Editor’s Choice

    How tariffs slow an economy (the simple mechanics) Higher import prices → weaker demand. Tariffs raise the cost of imported inputs and final goods. Companies either pay more for raw materials and intermediate goods (squeezing margins) or pass costs to consumers (reducing purchasing power). That combRead more

    How tariffs slow an economy (the simple mechanics)

    • Higher import prices → weaker demand. Tariffs raise the cost of imported inputs and final goods. Companies either pay more for raw materials and intermediate goods (squeezing margins) or pass costs to consumers (reducing purchasing power). That combination cools consumption and industrial activity.
    • Supply-chain disruption & re-shoring costs. Firms respond by reconfiguring supply chains (finding new suppliers, on-shoring, or stockpiling). Those adjustments are expensive and slow to pay off — in the near term they reduce investment and efficiency.
    • Investment chill from uncertainty. The prospect of escalating or unpredictable tariffs raises policy uncertainty. Businesses delay or scale back capital projects until trade policy stabilizes.
    • Retaliation and cascading barriers. Tariffs often trigger retaliatory measures. When many countries raise barriers, global trade volumes fall, which hits export-dependent economies and global value chains.

    These channels are exactly why multilateral agencies and market analysts say tariffs and trade restrictions can lower growth even when headline GDP still looks “resilient.”

    What the major institutions say (quick reality check)

    • The IMF’s recent updates show modest global growth in 2025–26 but flag tariff-driven uncertainty as a downside risk. Their 2025 WEO update projects global growth near 3.0% for 2025 and 3.1% for 2026 while explicitly warning that higher tariffs and policy uncertainty are important risks.
    • The OECD and several analysts argue the full force of recent tariff shocks hasn’t been felt yet — and they project growth weakening in 2026 as front-loading of imports ahead of tariffs wears off and higher effective tariff rates bite. The OECD’s interim outlook expects a slowdown in 2026 tied to these effects.
    • The WTO and World Bank also report trade-volume weakness and flag trade barriers as a material drag on trade growth — which feeds into lower global GDP.
    • These institutions are not predicting a single global recession just from tariffs, but they do expect measurable downward pressure on trade and investment, which slows recovery momentum.

    How big could the hit be? (it depends — but here are the drivers)

    Magnitude depends on policy breadth and persistence. Small, narrow tariffs on a few goods will only nudge growth; widespread, high tariffs across major economies (or sustained tit-for-tat escalation) can shave sizable tenths of a percentage point off global growth. Analysts point out that front-loading (firms buying ahead of tariff implementation) can temporarily buoy trade, but once that fades the negative effects appear.

    Timing matters. If tariffs are announced and then held in place for years, businesses will invest in duplicative capacity and the re-allocation costs accumulate. That’s the scenario most likely to slow growth into 2026.
    Bloomberg

    Who loses most

    • Export-dependent emerging markets (small open economies and commodity exporters) suffer when demand falls in advanced markets or when their inputs become more expensive.
    • Complex-value-chain industries (autos, electronics, semiconductors) where components cross borders many times are particularly vulnerable to tariffs and retaliations.
    • Low-income countries feel second-round effects: slower global growth → weaker commodity prices → less fiscal space and elevated debt stress. The World Bank notes growth downgrades when trade restrictions rise.
      World Bank

    Knock-on effects for inflation and policy

    Tariffs can be inflationary (higher import prices), which puts central banks in a bind: tighten to fight inflation and risk choking off growth, or tolerate higher inflation and risk de-anchored expectations. Either choice complicates recovery and could reduce real incomes and investment. Several policymakers have voiced concern that the mix of tariffs plus high policy uncertainty creates a stagflation-like risk in vulnerable economies.

    Offsets and reasons the slowdown may be limited

    • Front-loading and substitution. Businesses sometimes build inventories or substitute suppliers — that mutes immediate trade declines. IMF and other agencies note that some front-loading actually supported 2024–2025 trade figures, but this effect runs out.
    • Fiscal and monetary support. Governments can cushion the blow with targeted fiscal spending, subsidies, or trade facilitation. But those measures have limits (fiscal space, political will) and can’t fully replace cross-border trade flows.
    • Near-term resilience in consumption. Private sectors in some major economies have remained resilient, which helps growth hold up even as trade cools. But resilience erodes if tariffs persist and investment dries up.
      Reuters

    Practical indicators to watch in 2025–26 (what will tell us the story)

    • Trade volumes (WTO merchandise trade stats): a sustained drop signals broad tariff damage.
    • Business investment and capex plans: continued delays or cancellations point to a deeper investment chill.
    • Manufacturing PMI and global supply-chain bottlenecks: weakening PMIs across manufacturing hubs show cascading effects.
    • Inflation vs. growth trade-offs and central bank minutes: whether monetary policy tightens in response to tariff-driven inflation.
    • Announcements of trade retaliation or new tariff rounds: escalation increases downside risk; diplomatic rollbacks reduce it.

    Bottom line — a human takeaway

    Tariffs won’t necessarily cause an immediate, synchronized global recession in 2026, but they are a clear and credible downside risk to the fragile recovery. They act like a slow-moving tax on trade: higher costs, muddled investment decisions, and weaker demand — combined effects that shave growth and worsen inequalities between export-dependent and more closed economies. Policymakers can limit the damage with diplomacy, targeted support for affected industries and countries, and clear timelines — but if protectionism persists or escalates, the global recovery will be noticeably weaker in 2026 than it might otherwise have been.

    If you want, I can:

    • Turn this into a one-page slide for a briefing (executive summary + 3 charts of trade volume, investment plans, and projected growth scenarios); or
    • Pull the most recent WTO/OECD/IMF bullets (with dates and one-sentence takeaways) to cite in a short memo.

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