Problem Space a ranking of the record

TheProblems surrounding AI

25 problems match this view. 48% rest on at least one peer-reviewed study, and 4% clear the high-evidence bar. The latest was filed Sep 13, 2026.

Every problem in this view, one square each, shaded by the strength of its evidence. High 1 Moderate 24 Emerging 0

Sector: labor

Matching records · page 1 of 1

Evidence-backed problemPeer-reviewedLabor

AI-enabled offensive techniques increase cybersecurity risk in Asia-Pacific by using data poisoning, model extraction and AI-driven social engineering, with agentic AI expanding attack surfaces

Source article: Cybersecurity and Artificial Intelligence in the Asia Pacific: Threats Defenses and Governance Recommendations

Discover Applied Sciences · INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH

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Evidence-backed problemPeer-reviewedLabor

AI exposure concentrates in cognitively intense occupational clusters, creating multi-dimensional vulnerability that varies with job structure and buffering capacity.

Source article: Occupational Vulnerability to AI-Driven Change: The Role of Skill Composition, Task Structure, and Psychosocial Buffers

American Journal of Industrial Medicine

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Evidence-backed problemPeer-reviewedLabor

Currently, there is a lack of comprehensive artificial intelligence frameworks capable of automating the entire meta-analysis workflow, including literature screening, data extraction, and quality assessment.

Source article: Unmasking bias in the evidence ecosystem: a panoramic analysis of 311,751 meta-analyses using an artificial intelligence agent-based approach

Journal of Global Health

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Evidence-backed problemPeer-reviewedLabor

People who use AI at work receive negative social evaluations about their competence and motivation, which can harm job candidate assessments.

Source article: Evidence of a social evaluation penalty for using AI

Proceedings of the National Academy of Sciences

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Evidence-backed problemPeer-reviewedLabor

AI recruitment systems risk reproducing bias and discrimination that disproportionately harms vulnerable job applicants.

Source article: Fairness, AI & recruitment

Computer Law & Security Review

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Evidence-backed problemPeer-reviewedLabor

AI use in recruitment and hiring creates a heightened risk of concealing and reproducing organizational inequalities through algorithmic invisibility and growing legitimacy of AI solutions.

Source article: Problematizing the role of artificial intelligence in hiring and organizational inequalities: A multidisciplinary review

Human Relations

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Evidence-backed problemPeer-reviewedLabor

Industrial AI deployment creates ongoing ethical threats linked to entrusting machines with autonomy and decision-making responsibility.

Source article: Artificial intelligence in industry – ethical challenges

Production Engineering Archives

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Evidence-backed problemPeer-reviewedLabor

Generative art systems accelerate inequities in visual arts by appropriating intellectual property from marginalised artists and reinforcing Eurocentric and gendered commodification.

Source article: Garbage in, garbage out? How the monster of AI art reflects human fault, bias, and capitalism in contemporary culture

AI & SOCIETY

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Evidence-backed problemPeer-reviewedLabor

AI adoption is associated with restructuring of work roles and widening wage gaps between AI-skilled and non-AI-skilled workers.

Source article: The impact of AI on the labour market

Management & Marketing

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Evidence-backed problemPeer-reviewedLabor

AI-driven automation that substitutes for routine tasks reduces demand and wages for low-skilled workers, causing absolute welfare losses for workers below a critical ability threshold and widening income inequality.

Source article: Skill-biased technological change in the age of AI: a theoretical analysis of automation and inequality

Economics of Innovation and New Technology

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Evidence-backed problemPeer-reviewedLabor

The same vision treats human professional expertise as an extractable resource whose value is judged relative to AI, with potential to transform and revalue expert careers.

Source article: Cheap Expertise: Mapping and Challenging Industry Perspectives in the Expert Data Gig Economy

Proceedings of the 5th Annual Symposium on Human-Computer Interaction for Work

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Evidence-backed problemPeer-reviewedLabor

STARA adoption can displace routine tasks and roles, leading to involuntary career transitions including job loss due to automation.

Source article: Guest editorial: STARA (smart technology, AI, robotics and algorithms): implications for career research

Career Development International

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In progressOfficial statisticsLabor

Regional AI job-displacement estimates vary as much as fivefold depending on methodology, leaving policymakers without a reliable baseline.

Source article: No shared standard for reporting AI job displacement by region

OECD employment outlook methodology note

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Evidence-backed problemJournalismLabor

Computer science graduates in the UK saw a sharp drop in entry to professional coding jobs, from about 40% to 28%, as AI tools took over routine programming work.

Source article: AI may be denting computer science graduates’ job prospects, UK data shows

The Guardian

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Evidence-backed problemJournalismLabor

Women represent only 26% of AI hires, indicating a systemic design flaw in how AI roles are filled and retained, with little compensation-linked accountability for closing the gap.

Source article: Women Are 26% Of AI Hires. That's A Design Flaw, Not A Shortage

Forbes

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Evidence-backed problemJournalismLabor

Workers in occupations significantly exposed to AI face higher unemployment, longer spells of joblessness, and contracted wage growth leading to billions in lost earnings.

Source article: Lost jobs, inequality, rogue agents: why are we accepting oligarchs’ AI agenda? | Robert Reich

The Guardian

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Evidence-backed problemJournalismLabor

Companies began citing AI in layoffs and recent graduates faced 5.6% unemployment, with AI identified as a possible contributing factor.

Source article: AI was supposed to destroy jobs. Where’s the carnage?

The Guardian

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Evidence-backed problemJournalismLabor

UK creative agencies lost more than 14% of staff in 2025 as AI tools reduced or replaced agency roles, driving the biggest annual exodus since 2004 and hitting workers under 25 and entry-level hiring hardest.

Source article: UK ad agencies undergo their biggest exodus of staff as AI threatens industry

The Guardian

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Evidence-backed problemJournalismLabor

AI development depends on low-wage human labor in mines, factories and labelling centres, perpetuates pre-existing biases in recruitment and law enforcement, and is rolling out without public consent or consideration for planetary health while concentrating power in a handful of executives.

Source article: What If We Got AI Right? by Eleanor Drage review – avoiding apocalypse

The Guardian

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Evidence-backed problemJournalismLabor

Centrica will eliminate 1,300 British Gas call centre jobs across six UK cities as it carries out targeted deployment of AI tools and chatbots.

Source article: ‘Customers prefer AI chatbots,’ says British Gas owner as 1,300 call centre jobs axed

The Guardian

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Evidence-backed problemJournalismLabor

If AI automates most jobs, labor income could fall toward zero, undermining tax revenue and concentrating decisions about food, energy and resource allocation in a few owners.

Source article: If AI makes human labor obsolete, who decides who gets to eat?

The Guardian

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Evidence-backed problemJournalismLabor

Software workers face job loss as AI coding tools transform the industry, with Atlassian laying off 10% of staff

Source article: AI job layoffs are here: it’s time to revive the push for shorter working hours | John Quiggin

The Guardian

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Evidence-backed problemJournalismLabor

University students in Great Britain expect AI to displace jobs so quickly that it could lead to civil unrest and a downturn worse than a normal recession

Source article: Third of university students in Great Britain think AI job losses will cause social unrest, poll finds

The Guardian

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Evidence-backed problemJournalismLabor

US workers experienced layoffs in 2025 where employers attributed job cuts to artificial intelligence replacing human roles

Source article: US companies accused of ‘AI washing’ in citing artificial intelligence for job losses

The Guardian

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DisplacementJournalismLabor

Employment for developers aged 22–25 is down roughly 20% from its late-2022 peak, with no clear reabsorption path identified yet for that specific cohort.

Source article: Young developers are the clearest casualties so far

The World Data, March 2026

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