Mapping the individual, social, and biospheric impacts of Foundation Models

Autor: Hernández, Andrés Domínguez, Krishna, Shyam, Perini, Antonella Maia, Katell, Michael, Bennett, SJ, Borda, Ann, Hashem, Youmna, Hadjiloizou, Semeli, Mahomed, Sabeehah, Jayadeva, Smera, Aitken, Mhairi, Leslie, David

Publikováno v: In Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24). Association for Computing Machinery, New York, NY, USA, 776-796

Responding to the rapid roll-out and large-scale commercialization of foundation models, large language models, and generative AI, an emerging body of work is shedding light on the myriad impacts these technologies are having across society. Such res

Externí odkaz: http://arxiv.org/abs/2407.17129

AI Ethics and Governance in Practice: An Introduction

Autor: Leslie, David, Rincon, Cami, Briggs, Morgan, Perini, Antonella, Jayadeva, Smera, Borda, Ann, Bennett, SJ, Burr, Christopher, Aitken, Mhairi, Katell, Michael, Fischer, Claudia

AI systems may have transformative and long-term effects on individuals and society. To manage these impacts responsibly and direct the development of AI systems toward optimal public benefit, considerations of AI ethics and governance must be a firs

Externí odkaz: http://arxiv.org/abs/2403.15403

AI Fairness in Practice

Autor: Leslie, David, Rincon, Cami, Briggs, Morgan, Perini, Antonella, Jayadeva, Smera, Borda, Ann, Bennett, SJ, Burr, Christopher, Aitken, Mhairi, Katell, Michael, Fischer, Claudia, Wong, Janis, Garcia, Ismael Kherroubi

Reaching consensus on a commonly accepted definition of AI Fairness has long been a central challenge in AI ethics and governance. There is a broad spectrum of views across society on what the concept of fairness means and how it should best be put t

Externí odkaz: http://arxiv.org/abs/2403.14636

No prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation

Autor: Agrawal, Nimesh, Sirohi, Anuj Kumar, Jayadeva, Kumar, Sandeep

Ensuring fairness in Recommendation Systems (RSs) across demographic groups is critical due to the increased integration of RSs in applications such as personalized healthcare, finance, and e-commerce. Graph-based RSs play a crucial role in capturing

Externí odkaz: http://arxiv.org/abs/2312.10080

Xi Jinping. [elektronicky zdroj]

Autor: Ranade, Jayadeva

Externí odkaz: Kolekce e-knih KNAV (Registrovani uzivatele: plny text online 5 minut, dalsi pristup na vyzadani. Registered users: full text online 5 minutes, further access on request.)