Education: Supporting personalized, inclusive learning environments.
Research: Building new and improved processes for understanding the human and natural worlds.
Publishing: Developing new tools in support of knowledge development, validation, and dissemination.
Workplace Training: Enhancing employee skills through personalized learning and adaptive training programs.
Arts: Enabling new forms of creative expression and supporting artists with generative tools.
Business: Driving efficiency, improving decision-making, and supporting customer engagement through AI-powered insights.
Healthcare: Delivering personalized care, enhancing diagnostics, and improving patient outcomes.
Law: Assisting with legal research, improving case management, and supporting fair and transparent decision-making.
Intellectual Property: illegal appropriation of copyrighted content and unjust appropriation of content from the public domain for private profit.
Employment: automation that eliminates labour-intensive knowledge economy jobs at all levels of the labour market, from customer service to the professions.
False Facts and Fake News: machine “hallucinations”, human-prompted propaganda and social division, impersonation of individual persons.
AI Bias: the propagation through AI of racism, sexism and other ideologies of inequality.
AI Divides: differential access to AI as an added dimension to social inequalities.
Explainability: allowing AI to be an inscrutable agent when its basic mechanics and limits are explainable in a program of AI literacy