Panel 3: Responsible, Trustworthy, and Collaborative Human-AI Symbiosis

Abstract

While AI is becoming ubiquitous in our society, its increasingly autonomous decision-making power poses risk, responsibility, and trust to public safety, like self-driving cars, home care, drones. Stringent AI system requirements are not just a technical challenge, but design imperative. Designing a collaborative human-AI partnership through dynamic interactions and intelligent adaptation are critical. This expert panel will address the possibilities and the intricacies of human-AI teaming. Thus, unlocking the potential for a symbiotic transformative partnership. The panel will discuss use cases and limitations on responsibly integrating AI into your life in diverse areas to boost autonomy and creativity. It will also address how to operationalize principles into actions regarding both technical and non-technical (i.e., ethics and regulation) issues. Key takeaways will include optimal strategies for contributing to and adapting complexities of trust, safety, and security in AI as it applies to responsible and trustworthy AI- Human teaming. We will discuss means to operationalize AI ethics and human rights to uphold stringent AI system requirements on human and AI symbiotic collaborative relationships.

 

Target Audience

Any conference attendee will find the topic of “Responsible, Trustworthy, and Collaborative Human-AI Symbiosis” of interest. Attendees will discover the optimal strategies for integrating AI with human expertise to maximize effectiveness, efficiency, and innovation.

 

Presenters

 

Outline and Description of the Panel

  • Moderator: Dr. Ming Hou: Scene Setting (10 minutes)
  • Speakers (10 minutes each presentation):
    • Dr. Jose M. Alonso-Moral: Putting principles into actions for co-designing and evaluating
      trustworthy AI systems
    • Professor Tayo Obafemi-Ajayi: AI as an accelerator for defining new problems that
      transcends boundaries
    • Professor Keeley Crockett: Trusting the Team: Human–AI Leadership, Mutual
      Socialisation, and the AI Literacy Agenda for an Equitable Future of Work
  • Q&A between moderator and panelists (40 minutes)
  • Engagement with audience (30 minutes)
  • Conclusion: 10 minutes