Conference paper by Ramya Srinivasan and Kanji Uchino. Presented at the Workshop on Reframing Diversity in AI: Representation, Inclusion and Power, co-located with 2021 AAAI Conference on Artificial Intelligence.
Despite the significant progress made in recent years, there seems to be a visible bottleneck in transforming artificial intelligence (AI) technologies into large scale systems of ethical value. Biases in training data coupled with algorithmic biases adversely affect many stakeholders. It has been shown that AI based decisions exhibit discrimination based on sensitive attributes such as age, gender, and race, to name a few. One of the ways of addressing this issue is by incorporating the voices of people impacted by AI into the AI pipeline. However, historical power structures and impacts of discrimination against specific communities worldwide poses several challenges. Towards this end, art shows tremendous promise as a powerful platform to promote AI education, as a medium of expression, and to enhance empathy; thereby facilitating diversity and inclusion in the AI pipeline. In this work, we highlight some emerging work in this area, discuss pathways that art offers towards enhancing AI ethics, and outline some open research directions. We hope our work serves as a prequel to discussions concerning the design and development of tools that leverage art in an effort towards enhancing AI ethics.