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HUM

AI Blindspot Category 3 of 8

Human Factors

Blindspots in change management, skills, human-AI collaboration, trust, workforce, and culture.

Blindspots in this category

HUM-001ResilientCriticality 6/10

Change Management Resistance

Occurs when organisations underestimate the change management required for AI adoption, leading to employee resistance, cultural conflict, and failed implementation despite technical success.

Are our people prepared and willing to work alongside AI systems?

HUM-002ReliableCriticality 5/10

Skills Gap and Training Deficiencies

Emerges when organisations deploy AI without adequate training, leading to misuse, under-utilisation, or dangerous over-reliance by users who do not understand the system's boundaries.

Do our people have the skills needed to work effectively with AI systems?

HUM-003ReliableCriticality 6/10

Human-AI Collaboration Design Flaws

Manifests when users develop incorrect mental models of AI behaviour, leading to inappropriate reliance, misinterpretation of outputs, or failure to recognise when human intervention is required.

How well do humans and AI systems work together in our processes?

HUM-004ReliableCriticality 7/10

Trust and Acceptance Issues

Occurs when one bad output or pattern of unreliability destroys system-wide credibility, with users disengaging rather than calibrating trust in specific contexts.

Do our people trust the AI systems enough to use them effectively?

HUM-005ResponsibleCriticality 8/10

Workforce Displacement Anxiety

Emerges when organisations underestimate workforce anxiety about AI, leading to industrial action, talent loss, and adoption failure despite technical success.

How are we addressing employee concerns about AI replacing their jobs?

HUM-006ResilientCriticality 6/10

Cultural Adaptation Challenges

Manifests when organisational culture conflicts with AI implementation requirements, leading to resistance, perverse incentives, and failure to realise AI benefits despite technical success.

Does our organisational culture support the changes that AI will bring?

Recent cases in HUM

HUMHUM-0055/5NewOtherGlobal

AI-Driven Job Automation Causing Systemic Economic Displacement

Recent case. Full summary visible to registered users — sign in to read.

Source: MIT AI Risk Repository — A Taxonomy of Systemic Risks from General-Purpose AI (Uuk2025)Ingested
HUMHUM-0044/5NewGovernmentGlobal

AI Systems Delivering Unqualified Specialist Advice Across Finance, Health, Law and Elections

Recent case. Full summary visible to registered users — sign in to read.

Source: MIT AI Risk Repository — AILUMINATE: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons (Ghosh2024)Ingested
HUMHUM-0053/5NewTechnologyGlobal

AI Industry Conceals Dependence on Exploited Global South Data Workers

Recent case. Full summary visible to registered users — sign in to read.

Source: MIT AI Risk Repository — Ten Hard Problems in Artificial Intelligence We Must Get Right (Leech2024)Ingested
HUMHUM-0063/5NewOtherGlobal

AI Use Erodes Human Creativity and Critical Thinking Capacity

Recent case. Full summary visible to registered users — sign in to read.

Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
HUMHUM-0043/5NewTechnologyGlobal

AI-Enabled Disinformation Erodes Public Trust in Institutions

Recent case. Full summary visible to registered users — sign in to read.

Source: MIT AI Risk Repository — A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms (Abercrombie2024)Ingested
HUMHUM-0045/5NewHealthcareGlobal

AI in Elder and Child Care Raises Manipulation and Privacy Governance Risks

Recent case. Full summary visible to registered users — sign in to read.

Source: MIT AI Risk Repository — The Rise of Artificial Intelligence - Future Outlooks and Emerging Risks (Allianz2018)Ingested

Test your organisation against HUM

The Velinor AI Audit maps your AI portfolio against every blindspot in this category and benchmarks against documented sector failures.