Generative AI meets Responsible AI: Practical Challenges and Opportunities

Krishnaram Kenthapadi · Himabindu Lakkaraju · Nazneen Fatema Rajani

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Ethics and Social Impacts of AI Explainable Artificial Intelligence (XAI)Law, AI, and Intellectual Property

Abstract

Generative AI models and applications are being rapidly developed and deployed across a wide spectrum of industries and applications ranging from writing and email assistants to graphic design and art generation to educational assistants to coding to drug discovery. However, there are several ethical and social considerations associated with generative AI models and applications. These concerns include lack of interpretability, bias and discrimination, privacy, lack of model robustness, fake and misleading content, copyright implications, plagiarism, and environmental impact associated with training and inference of generative AI models.

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2021Gender and Representation Bias in GPT-3 Generated Stories 2020Social Biases in NLP Models as Barriers for Persons with Disabilities 2021Large language models associate Muslims with violence

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