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5. Human-Computer Interaction2 - Post-deployment

Disruptions from Outpaced Societal Adaptation

Although the implementation of general purpose AI models as automation tools could be a major opportunity, overly rapid adoption of this technology at scale might outpace the ability of society to adapt effectively. This could lead to a variety of disruptions, including challenges in the labour market, the education system and public discourse, and various mental health concerns.

Source: MIT AI Risk Repositorymit847

ENTITY

1 - Human

INTENT

2 - Unintentional

TIMING

2 - Post-deployment

Risk ID

mit847

Domain lineage

5. Human-Computer Interaction

92 mapped risks

5.2 > Loss of human agency and autonomy

Mitigation strategy

1. Implement a structured, multi-sectoral societal adaptation strategy, utilizing a continuous cycle of risk identification, assessment of adaptive responses (e.g., regulatory frameworks and institutional innovations), and measurement of effectiveness to build systemic resilience against rapid AI diffusion. 2. Drive rapid and sustained investment in lifelong learning and education system reforms to foster mass upskilling and reskilling, thereby addressing labor market disruptions by cultivating AI literacy and human-centric skills (e.g., adaptability, problem-solving, and critical thinking). 3. Establish human-centered AI integration protocols that reframe the technology as an augmentative tool for human potential, and mandate workflow designs that maintain human agency, oversight, and decision-making authority over high-stakes tasks to mitigate concerns regarding autonomy and mental health.