Q: What is Fair Bytes?
A: “Fair Bytes is a publication that highlights research, resources, and issues related to algorithmic fairness and ethics in AI in byte-sized pieces. The aim of this initiative is to create more awareness and introduce the public to this emerging field through short, understandable articles written from technical, societal, and educational perspectives. For example, this article describes recent research findings that certain natural language processing tasks carry bias against people with disabilities. In the long run, Fair Bytes plans to illuminate research on quantitative frameworks of algorithmic fairness, discuss critical issues of ethical AI in our world today, and share insights, projects, and resources in and related to this field.”
Catherine Yeo is an undergraduate studying Computer Science with a minor in English at Harvard University. In particular, she’s interested in machine learning, natural language processing, and the intersection of AI and fairness/ethics. Catherine started Fair Bytes to share more about the emerging research and resources in the field of algorithmic fairness. Currently, she does research on building a conversational AI agent to help make CS education more accessible. She previously interned at Apple and will be a research intern at IBM this summer. Feel free to say hi to her on Twitter!
Thank you for sharing this with us, Catherine! If you are currently a student and also working on projects in the field of AI, reach out to me at firstname.lastname@example.org and let’s chat! We would love to feature your work.