Reports of the AAAI 2019 Spring Symposium Series

AI Magazine

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University’s Department of Computer Science, presented the 2018 Spring Symposium Series, held Monday through Wednesday, March 26–28, 2018, on the campus of Stanford University. The seven symposia held were AI and Society: Ethics, Safety and Trustworthiness in Intelligent Agents; Artificial Intelligence for the Internet of Everything; Beyond Machine Intelligence: Understanding Cognitive Bias and Humanity for Well-Being AI; Data Efficient Reinforcement Learning; The Design of the User Experience for Artificial Intelligence (the UX of AI); Integrated Representation, Reasoning, and Learning in Robotics; Learning, Inference, and Control of Multi-Agent Systems. This report, compiled from organizers of the symposia, summarizes the research of five of the symposia that took place.

AI Magazine

The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2016 Spring Symposium Series on Monday through Wednesday, March 21-23, 2016 at Stanford University. The titles of the seven symposia were (1) AI and the Mitigation of Human Error: Anomalies, Team Metrics and Thermodynamics; (2) Challenges and Opportunities in Multiagent Learning for the Real World (3) Enabling Computing Research in Socially Intelligent Human-Robot Interaction: A Community-Driven Modular Research Platform; (4) Ethical and Moral Considerations in Non-Human Agents; (5) Intelligent Systems for Supporting Distributed Human Teamwork; (6) Observational Studies through Social Media and Other Human-Generated Content, and (7) Well-Being Computing: AI Meets Health and Happiness Science.

Artificial Intelligence (AI) and technology have emerged as transformative tools in achieving the Sustainable Development Goals (SDGs), especially SDG 3, which strongly emphasises health and well-being. Using a mixed-methods approach that combines qualitative insights and quantitative analysis, this study investigates the potential of AI-driven interventions in enhancing healthcare, mental well-being, and economic development in line with the Sustainable Development Goals. Healthcare stakeholders and AI-driven initiatives provided primary data, and economic reports and global health indices were used for secondary data analysis. Advanced analytical tools provided insights into AI integration's feasibility and impact. Findings suggest that AI enhances healthcare quality and accessibility by improving resource allocation, personalising treatment regimens, and expediting tests. Chatbots and other AI solutions in mental health help enhance treatment outcomes and lessen stigma. Economic advantages of AI-driven projects include creating jobs, lower expenses, and increased productivity due to better public health. The analysis emphasises how crucial it is for everyone to have equal access to AI technology and how strong policy frameworks are required to handle issues like data privacy, restricted access to AI infrastructure in underprivileged areas, and ethical concerns. It concludes that AI can help achieve SDG 3 by promoting economic growth and enhancing health. It suggests funding AI infrastructure, encouraging public-private collaborations, and putting laws in place that strike a balance between ethics and innovation. In order to address difficulties like data privacy, limited AI infrastructure in poor areas, and ethical concerns, the study highlights the necessity of strong policy frameworks and fair access to AI technology. To help accomplish SDG 3, it recommends investing in AI infrastructure, promoting public-private partnerships, and passing legislation that strikes a balance between ethics and innovation.

IEEE Software, 2020

AI Magazine

The AAAI-18 workshop program included 15 workshops covering a wide range of topics in AI. Workshops were held Sunday and Monday, February 2–7, 2018, at the Hilton New Orleans Riverside in New Orleans, Louisiana, USA. This report contains summaries of the Affective Content Analysis workshop; the Artificial Intelligence Applied to Assistive Technologies and Smart Environments; the AI and Marketing Science workshop; the Artificial Intelligence for Cyber Security workshop; the AI for Imperfect-Information Games; the Declarative Learning Based Programming workshop; the Engineering Dependable and Secure Machine Learning Systems workshop; the Health Intelligence workshop; the Knowledge Extraction from Games workshop; the Plan, Activity, and Intent Recognition workshop; the Planning and Inference workshop; the Preference Handling workshop; the Reasoning and Learning for Human-Machine Dialogues workshop; and the the AI Enhanced Internet of Things Data Processing for Intelligent Applications ...