Tag: AAAI 2023 Spring Symposia

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Preprint on Hugging Robots

From March 27-29, 2023, the AAAI 2023 Spring Symposia featured the symposium “Socially Responsible AI for Well-being” by Takashi Kido (Teikyo University, Japan) and Keiki Takadama (The University of Electro-Communications, Japan). This time the venue was exceptionally not Stanford University, but the Hyatt Regency SFO Airport. On March 28, Prof. Dr. Oliver Bendel presented the paper “Increasing Well-being through Robotic Hugs”, written by himself, Andrea Puljic, Robin Heiz, Furkan Tömen, and Ivan De Paola. The paper has now been published as a preprint and can be downloaded via arxiv.org/abs/2304.14409. From the abstract: “This paper addresses the question of how to increase the acceptability of a robot hug and whether such a hug contributes to well-being. It combines the lead author’s own research with pioneering research by Alexis E. Block and Katherine J. Kuchenbecker. First, the basics of this area are laid out with particular attention to the work of the two scientists. The authors then present HUGGIE Project I, which largely consisted of an online survey with nearly 300 participants, followed by HUGGIE Project II, which involved building a hugging robot and testing it on 136 people. At the end, the results are linked to current research by Block and Kuchenbecker, who have equipped their hugging robot with artificial intelligence to better respond to the needs of subjects.” More information on the conference via aaai.org/conference/spring-symposia/sss23/.

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How People React to Hugs from Robots

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 paper “Increasing Well-being and Health through Robotic Hugs” by Oliver Bendel, Andrea Puljic, Robin Heiz, Furkan Tömen, and Ivan De Paola was accepted. Among other things, they show how people in Switzerland react to robotic hugs. The talk will take place between March 26 and 29, 2023 at Hyatt Regency, San Francisco Airport. The symposium 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.

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How Customers React to Bar Robots

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 paper “How Can Bar Robots Enhance the Well-being of Guests?” by Oliver Bendel and Lea K. Peier was accepted. Among other things, they show how customers in Switzerland react to bar robots. The talk will take place between March 26 and 29, 2023 at Hyatt Regency, San Francisco Airport. The symposium 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.

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AI for Well-being

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.

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AAAI 2023 Spring Symposia in San Fran

The Association for the Advancement of Artificial Intelligence (AAAI) is pleased to present the AAAI 2023 Spring Symposia, to be held at the Hyatt Regency, San Francisco Airport, California, March 27-29. According to the organizers, Stanford University cannot act as host this time because of insufficient staff. Symposia of particular interest from a philosophical point of view are “AI Climate Tipping-Point Discovery”, “AI Trustworthiness Assessment”, “Computational Approaches to Scientific Discovery”, “Evaluation and Design of Generalist Systems (EDGeS): Challenges and methods for assessing the new generation of AI”, and “Socially Responsible AI for Well-being”. According to AAAI, symposia generally range from 40–75 participants each. “Participation will be open to active participants as well as other interested individuals on a first-come, first-served basis.” (Website AAAI) Over the past decade, the conference has become one of the most important venues in the world for discussions on robot ethics, machine ethics, and AI ethics. It will be held again at History Corner from 2024. Further information via www.aaai.org/Symposia/Spring/sss23.php.