Implications of regulations on the use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence

Marios Constantinides, Mohammad Tahaei, Daniele Quercia, Simone Stumpf, Michael Madaio, Sean Kennedy, Lauren Wilcox, Jessica Vitak, Henriette Cramer, Edyta Paulina Bogucka, Ricardo Baeza-Yates, Ewa Luger, Jess Holbrook, Michael Muller, Ilana Golbin Blumenfeld, Giada Pistilli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the upcoming AI regulations (e.g., EU AI Act) and rapid advancements in generative AI, new challenges emerge in the area of Human-Centered Responsible Artificial Intelligence (HCR-AI). As AI becomes more ubiquitous, questions around decision-making authority, human oversight, accountability, sustainability, and the ethical and legal responsibilities of AI and their creators become paramount. Addressing these questions requires a collaborative approach. By involving stakeholders from various disciplines in the 2nd edition of the HCR-AI Special Interest Group (SIG) at CHI 2024, we aim to discuss the implications of regulations in HCI research, develop new theories, evaluation frameworks, and methods to navigate the complex nature of AI ethics, steering AI development in a direction that is beneficial and sustainable for all of humanity.

Original languageEnglish
Title of host publicationCHI EA '24: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
EditorsFlorian Floyd Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas
PublisherAssociation for Computing Machinery
Pages1-4
Number of pages4
ISBN (Electronic)9798400703317
DOIs
Publication statusPublished - 11 May 2024
Event2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024 - Hybrid, Honolulu, United States
Duration: 11 May 202416 May 2024

Conference

Conference2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024
Country/TerritoryUnited States
CityHybrid, Honolulu
Period11/05/2416/05/24

Keywords / Materials (for Non-textual outputs)

  • AI ethics
  • human-centered AI
  • large language models
  • regulations
  • responsible AI

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