Talk 1 

Speaker: Haiyi Zhu (Carnegie Mellon University)

Title: Bridging AI and HCI: Incorporating Human Values into the Development of AI Technologies

Abstract: The increasing accuracy and falling costs of AI have stimulated the increased use of AI technologies in mainstream user-facing applications and services. However, there is a disconnect between mathematically rigorous AI approaches and the human stakeholders’ needs, motivations, and values, as well as organizational and institutional realities, contexts, and constraints; this disconnect is likely to undermine practical initiatives and may sometimes lead to negative societal impacts. In this presentation, I will discuss my research on incorporating human stakeholders’  values and feedback into the creation process of AI technologies. I will describe a series of projects in the context of the Wikipedia community to illustrate my approach. I hope this presentation will contribute to the rich ongoing conversation concerning bridging HCI and AI and using HCI methods to address AI challenges.

Talk 2

Speaker: Andy Craze, Chris Albon (Wikimedia Foundation, Machine Learning Team)

Title: ML Governance: First Steps

Abstract: The WMF Machine Learning team is upgrading the Foundation's infrastructure to support the modern machine learning ecosystem. As part of this work, the team seeks to understand its ethical and legal responsibilities for developing and hosting predictive models within a global context. Drawing from previous WMF research related to ethical & human-centered machine learning, the team wishes to begin a series of conversations to discuss how we can deploy responsible systems that are inclusive to newcomers and non-experts, while upholding our commitment to free and open knowledge.