Current and Near-Term AI as a Potential Existential Risk Factor

no code implementations • 21 Sep 2022 • Benjamin S. Bucknall, Shiri Dori-Hacohen

In this paper, we problematise the notion that current and near-term artificial intelligence technologies have the potential to contribute to existential risk by acting as intermediate risk factors, and that this potential is not limited to the unaligned AGI scenario.

Fairness via AI: Bias Reduction in Medical Information

no code implementations • 6 Sep 2021 • Shiri Dori-Hacohen, Roberto Montenegro, Fabricio Murai, Scott A. Hale, Keen Sung, Michela Blain, Jennifer Edwards-Johnson

While part (3) of this work specifically focuses on the health domain, the fundamental computer science advances and contributions stemming from research efforts in bias reduction and Fairness via AI have broad implications in all areas of society.

Bias Detection Fairness +3

Report on the First HIPstIR Workshop on the Future of Information Retrieval

no code implementations • 20 Dec 2019 • Laura Dietz, Bhaskar Mitra, Jeremy Pickens, Hana Anber, Sandeep Avula, Asia Biega, Adrian Boteanu, Shubham Chatterjee, Jeff Dalton, Shiri Dori-Hacohen, John Foley, Henry Feild, Ben Gamari, Rosie Jones, Pallika Kanani, Sumanta Kashyapi, Widad Machmouchi, Matthew Mitsui, Steve Nole, Alexandre Tachard Passos, Jordan Ramsdell, Adam Roegiest, David Smith, Alessandro Sordoni

The vision of HIPstIR is that early stage information retrieval (IR) researchers get together to develop a future for non-mainstream ideas and research agendas in IR.

Information Retrieval Retrieval