Chris Bourg
Director of Libraries
Massachusetts Institute of Technology
Heather Sardis
Associate Director for Technology and Strategic Planning
Massachusetts Institute of Technology
Erin Stalberg
Associate Director for Collections and Faculty Relations Strategy
Massachusetts Institute of Technology
Generative AI is thoroughly disrupting the traditional ways in which we maintain and signal the trustworthiness and integrity of research. With public trust in academia and research waning, and in the face of recent high-profile instances of research misconduct, the scholarly community must act swiftly to develop policies, frameworks, and tools for leveraging the power of generative AI in ways that enhance, rather than erode, public trust in science, academia, and research. Despite the much-discussed risks, generative AI also offers the opportunity to design tools and develop policies to address some of the known failures of the current system. In September 2023, the MIT Libraries was among 27 teams awarded seed grants to probe the social implications of generative AI and deliver impact papers for publication in 2024. This presentation will focus on articulating next step strategies for increasing the likelihood that generative AI will impact research integrity in transformationally positive ways. Specifically, it will address: the potential of generative AI to mine research data and scholarly output at a massive scale, guidelines for the ethical and responsible use and citation of both paywalled and openly available research articles in generative AI, risk assessment and risk mitigation when using generative AI in the creation of a research article, uses of generative AI to improve the quality and availability of research data, and mechanisms for accelerating the open availability of scholarly literature and data to increase the quality of the data being used in generative AI tools.
https://news.mit.edu/2023/mit-scholars-awarded-seed-grants-generative-ai-0918
