AccountabilityEthicsTransparencycs.HC
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 Bogucka, Ricardo Baeza-Yates, Ewa Luger, Jess Holbrook, Michael Muller, Ilana Golbin Blumenfeld, Giada Pistilli
February 29, 2024
CHI Extended Abstracts
21 citations
2 influential
Key Takeaways
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Regulatory frameworks like the EU AI Act are reshaping how AI research and development must approach human oversight. The paper emphasizes that upcoming regulations are creating new requirements around decision-making authority and accountability that HCI (Human-Computer Interaction) researchers must now address in their work.
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Human-centered design requires collaboration across multiple disciplines to be effective. The authors stress that addressing AI ethics challenges cannot be solved by technologists alone—stakeholders from various fields must work together to develop evaluation frameworks and methods that account for the complex nature of responsible AI.
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Key responsibility areas for AI developers now include sustainability, ethical obligations, and legal compliance. Beyond just technical performance, the paper identifies that creators of AI systems must consider environmental sustainability, ethical implications, and adherence to emerging legal standards as core aspects of responsible development.
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Generative AI's rapid advancement is outpacing our ability to establish clear governance structures. The paper highlights that the speed of generative AI development is creating urgent new challenges in defining who holds decision-making authority and how to maintain meaningful human oversight over increasingly powerful systems.