A Researcher's Guide to Community Engaged Research: Artificial Intelligence, Science and Research
This guide is meant to be a first stop for researchers who are trying to learn about and implement community engagement in their work, and includes how-to-guides and other resources, as well as key concepts and a useful glossary of terms.
Artificial Intelligence and Research Materials and Resources
Strategies to Govern AI EffectivelyAdvances in artificial intelligence are accelerating scientific discoveries and analyses, while at the same time challenging core norms and values in the conduct of science, including accountability, transparency, replicability, and human responsibility—difficulties that are particularly apparent in recent advances in generative AI.
Bringing Communities In, Achieving AI for AllTo ensure that artificial intelligence meaningfully addresses social inequalities, AI designers and regulators should seek out partnerships with marginalized communities, to learn what they need from this emerging technology and build it.
A Justice-Led Approach to AI InnovationTo ensure that innovation enhances freedom and promotes equality, research and development should be governed by an ethical framework grounded in a conception of justice fit for a pluralistic, open society.
A Human Rights Framework for AI Research Worthy of Public TrustTo ensure that innovation enhances freedom and promotes equality, research and development should be governed by an ethical framework grounded in a conception of justice fit for a pluralistic, open society.
A Tool with LimitationsThe rise and overall awareness of generative AI has been nothing short of remarkable. The generative AI-powered ChatGPT took only five days to reach 1 million users. Compare that with Instagram, which took about 2.5 months to reach that mark, or Netflix, which took about 3.5 years. Additionally, ChatGPT took only about two months to reach 100 million users, while Facebook took about 4.5 years and Twitter just under 5.5 years to hit that mark.
