As part of the AAAI 2023 Spring Symposia in San Francisco, the symposium “Socially Responsible AI for Well-being” is organized by Takashi Kido (Teikyo University, Japan) and Keiki Takadama (The University of Electro-Communications, Japan). The AAAI website states: “For our happiness, AI is not enough to be productive in exponential growth or economic/financial supremacies but should be socially responsible from the viewpoint of fairness, transparency, accountability, reliability, safety, privacy, and security. For example, AI diagnosis system should provide responsible results (e.g., a high-accuracy of diagnostics result with an understandable explanation) but the results should be socially accepted (e.g., data for AI (machine learning) should not be biased (i.e., the amount of data for learning should be equal among races and/or locations). Like this example, a decision of AI affects our well-being, which suggests the importance of discussing ‘What is socially responsible?’ in several potential situations of well-being in the coming AI age.” (Website AAAI) According to the organizers, the first perspective is “(Individually) Responsible AI”, which aims to clarify what kinds of mechanisms or issues should be taken into consideration to design Responsible AI for well-being. The second perspective is “Socially Responsible AI”, which aims to clarify what kinds of mechanisms or issues should be taken into consideration to implement social aspects in Responsible AI for well-being. More information via www.aaai.org/Symposia/Spring/sss23.php#ss09.
BY OLIVER BENDEL
