EthicsAccountabilityTransparencycs.CY
Building Bridges: Generative Artworks to Explore AI Ethics
Ramya Srinivasan, Devi Parikh
June 25, 2021
arXiv.org
9 citations
Key Takeaways
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Communication gaps between AI developers and affected communities are a major barrier to ethical AI: The paper identifies that AI researchers often lack awareness of how their systems impact consumers' lives, suggesting that better dialogue across the AI pipeline is essential for responsible development.
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Multiple stakeholders with competing interests complicate AI ethics: The paper emphasizes that different groups involved in AI systems—from designers to users to policymakers—have distinct constraints and perspectives that must be understood and reconciled for ethical outcomes.
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Generative art can serve as an accessible educational tool for AI ethics: Rather than relying solely on technical or policy documents, the authors propose that creative artworks can help make AI ethics concepts understandable and engaging to diverse audiences, including non-experts.
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Interdisciplinary approaches are needed to advance responsible AI: The paper calls for broader collaboration beyond computer science, suggesting that fields like art and design have valuable roles to play in helping society understand and address AI's ethical challenges.
Abstract
In recent years, there has been an increased emphasis on understanding and mitigating adverse impacts of artificial intelligence (AI) technologies on society. Across academia, industry, and government bodies, a variety of endeavours are being pursued towards enhancing AI ethics. A significant challenge in the design of ethical AI systems is that there are multiple stakeholders in the AI pipeline, each with their own set of constraints and interests. These different perspectives are often not understood, due in part to communication gaps.For example, AI researchers who design and develop AI models are not necessarily aware of the instability induced in consumers' lives by the compounded effects of AI decisions. Educating different stakeholders about their roles and responsibilities in the broader context becomes necessary. In this position paper, we outline some potential ways in which generative artworks can play this role by serving as accessible and powerful educational tools for surfacing different perspectives. We hope to spark interdisciplinary discussions about computational creativity broadly as a tool for enhancing AI ethics.