Could Distributed Peer Review Better Decide Grant Funding?
The landscape of academic grant funding is notoriously competitive and plagued by lengthy, bureaucratic processes, exacerbated by difficulties in finding willing reviewers. Distributed […]
The new AI Disclosures Project seeks to create structures that both recognize the commercial enticements of AI while ensuring that issues of safety and equity are front and center in the decisions private actors make about AI deployment.
If schools provide the proper support and resources, they will help educators move from anxiety to empowerment when integrating AI into the classroom.
The National Academies of Sciences will be holding part two of The Hauser Policy Impact Fund Webinar Series on July 25, 2024. […]
On July 2, 2024, the National Academies of Sciences will hold the fourth installment of their workshop series on Human and Organizational […]
The authors describe how their study investigated how middle managers perceive the impacts of AI-system integration on their work characteristics in the financial services industry.
Social sciences can also inform the design and creation of ethical frameworks and guidelines for AI development and for deployment into systems. Social scientists can contribute expertise: on data quality, equity, and reliability; on how bias manifests in AI algorithms and decision-making processes; on how AI technologies impact marginalized communities and exacerbate existing inequities; and on topics such as fairness, transparency, privacy, and accountability.
This two-part webinar series, funded through the Hauser Policy Impact Fund, will explore the Division of Behavioral and Social Sciences and Education’s […]
This month’s installment of The Evidence explores how leading ethics experts are responding to the urgent dilemma of gender bias in AI. […]