The papers of the AAAI 2019 Spring Symposium “Interpretable AI for Well-Being: Understanding Cognitive Bias and Social Embeddedness symposium” were published in October 2019. The participants had met at Stanford University at the end of March 2019 to present and discuss their findings. Session 5 (“Social Embeddedness”) includes the following publications: “Are Robot Tax, Basic Income or Basic Property Solutions to the Social Problems of Automation?” (Oliver Bendel), “Context-based Network Analysis of Structured Knowledge for Data Utilization” (Teruaki Hayashi, Yukio Ohsawa), “Extended Mind, Embedded AI, and ‘the Barrier of Meaning'” (Sadeq Rahimi), “Concept of Future Prototyping Methodology to Enhance Value Creation within Future Contexts” (Miwa Nishinaka, Yusuke Kishita, Hisashi Masuda, Kunio Shirahada), and “Maintaining Knowledge Distribution System’s Sustainability Using Common Value Auctions” (Anas Al-Tirawi, Robert G. Reynolds). The papers can be downloaded via ceur-ws.org/Vol-2448/.
Interpretable AI for Well-Being
