Implications of Regulations on the Use of AI and Generative AI for Human-Centered Responsible Artificial Intelligence

Author:

Constantinides Marios1ORCID,Tahaei Mohammad2ORCID,Quercia Daniele1ORCID,Stumpf Simone3ORCID,Madaio Michael4ORCID,Kennedy Sean5ORCID,Wilcox Lauren6ORCID,Vitak Jessica7ORCID,Cramer Henriette8ORCID,Bogucka Edyta Paulina1ORCID,Baeza-Yates Ricardo9ORCID,Luger Ewa10ORCID,Holbrook Jess11ORCID,Muller Michael12ORCID,Blumenfeld Ilana Golbin13ORCID,Pistilli Giada14ORCID

Affiliation:

1. Nokia Bell Labs, United Kingdom

2. International Computer Science Institute, United States

3. School of Computing Science, University of Glasgow, United Kingdom

4. Google Research, United States

5. Nokia Bell Labs, Canada

6. School of Interactive Computing, Georgia Institute of Technology, United States

7. College of Information Studies, University of Maryland, United States

8. Independent, United States

9. EAI, Northeastern University, United States

10. Institute of Design Informatics, University of Edinburgh, United Kingdom

11. Meta, United States

12. Human AI Collaboration, IBM Research, United States

13. PwC, United States

14. Hugging Face, France

Publisher

ACM

Reference39 articles.

1. ACM Technology Policy Council. 2022. ACM Statement on Principles for Responsible Algorithmic Systems. https://www.acm.org/articles/bulletins/2022/november/tpc-statement-responsible-algorithmic-systems

2. ACM Technology Policy Council. 2023. Principles for the Development Deployment and Use of Generative AI Technologies. https://www.acm.org/binaries/content/assets/public-policy/ustpc-approved-generative-ai-principles

3. EU AI Act. 2021. Proposal for a Regulation of the European Parliament and of the Council laying down harmonised rules on Artificial Intelligence (Artificial Intelligence Act) and amending certain Union legislative acts. EU AI Act. Retrieved December 2023 from https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52021PC0206

4. Cecilia Aragon, Shion Guha, Marina Kogan, Michael Muller, and Gina Neff. 2022. Human-centered data science: an introduction. MIT Press, Cambridge, MA, US.

5. Vijay Arya Rachel K. E. Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind Samuel C. Hoffman Stephanie Houde Q. Vera Liao Ronny Luss Aleksandra Mojsilović Sami Mourad Pablo Pedemonte Ramya Raghavendra John Richards Prasanna Sattigeri Karthikeyan Shanmugam Moninder Singh Kush R. Varshney Dennis Wei and Yunfeng Zhang. 2019. One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques. arxiv:1909.03012 [cs.AI]

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