{"id":305,"date":"2026-04-07T16:23:17","date_gmt":"2026-04-07T16:23:17","guid":{"rendered":"https:\/\/www.ieeesmc.org\/ichms-2026\/?page_id=305"},"modified":"2026-04-27T15:36:24","modified_gmt":"2026-04-27T15:36:24","slug":"ai-thought-leaders-panel","status":"publish","type":"page","link":"https:\/\/www.ieeesmc.org\/ichms-2026\/ai-thought-leaders-panel\/","title":{"rendered":"AI Thought Leaders Panel"},"content":{"rendered":"\t\t
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RSVP<\/h3>\n

Please complete the RSVP form to confirm your attendance at the AI Thought Leaders Panel.<\/p>\n

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\n RSVP Here<\/a>\n <\/div>\n <\/div>\n<\/div>\n\n\n\n\n\n\n

About the Panel<\/h2>\n\n\n\n

As society advances into the era of Human-AI collaboration, important questions arise around reliability, accountability, trust, safety, ethics, and regulation. As AI becomes increasingly involved in decision-making across many areas of life, responsible Human-AI teaming is no longer only a technical challenge, but also a design, governance, and societal imperative.<\/p>\n\n\n\n

To address these challenges, the IEEE Systems, Man, and Cybernetics Society (SMCS) launched the Collaborative Human-AI Symbiosis (CHAIS) initiative in 2025, with the aim of positioning SMCS as a global leader in responsible and trustworthy Human-AI teaming. The initiative draws on the Society\u2019s internationally recognized interdisciplinary knowledge, expertise, and technology, with particular emphasis on Human-AI teaming. Its goal is to better understand, design, and demonstrate effective Human-AI teaming while unlocking the potential of this transformative partnership.<\/p>\n\n\n\n

Building on the successful 1st CHAIS Workshop in 2025, this AI Thought Leaders Panel is the second event engaging global AI experts, SMCS members, IEEE members, and the wider community. The panel will discuss real-world use cases, current limitations, and practical approaches for responsibly integrating AI across diverse domains. Discussions will cover both technical and non-technical dimensions, including ethics, regulation, governance, and implementation.<\/p>\n\n\n\n

The panel will also support the validation of challenges and priorities identified at the 1st CHAIS Workshop and contribute to the development of an SMCS roadmap to address related expertise and capability gaps. Key takeaways will include practical strategies for navigating trust, safety, security, and accountability in AI, particularly in the context of responsible and trustworthy Human-AI teaming.<\/p>\n\n\n\n\n\n\n\n

Key Topics<\/h3>\n\n\n\n

The panel will explore themes including:<\/p>\n\n\n\n