AI Champion of the Year

Awarded to an individual who has made a substantial impact on the AI field through innovation, leadership, or advocacy.

Criteria – Impact and Contribution to the Field

• Explanation: This criterion assesses the individual’s contributions to the field of AI and their impact on technology, research, industry, or society.
• Considerations: Significant research findings, influential publications, development of groundbreaking AI technologies, contributions to major projects, and overall influence on the advancement of AI.

Criteria: Innovation and Creativity

• Explanation: This focuses on the individual’s ability to introduce innovative ideas and creative solutions within the AI domain. How have they pushed the boundaries of what’s possible in AI?
• Considerations: Development of novel algorithms, innovative applications of AI, unique problem-solving approaches, and creative thinking that drives the field forward.

Criteria: Leadership and Mentorship

• Explanation: This criterion evaluates the individual’s leadership qualities and their role in mentoring and guiding others in the AI community.
• Considerations: Leadership roles in AI organizations or projects, mentorship of students and junior researchers, influence in shaping AI-related policies or strategies, and contributions to fostering a collaborative and inclusive AI community.

Criteria: Ethical Practices and Social Responsibility

• Explanation: This assesses the individual’s commitment to ethical practices and their efforts to ensure the responsible use of AI.
• Considerations: Advocacy for ethical AI, contributions to establishing ethical guidelines, efforts in promoting fairness, transparency, and accountability in AI, and initiatives aimed at addressing social and ethical issues related to AI.

Criteria: Public Engagement and Education

• Explanation: This focuses on the individual’s efforts to engage with the public and educate various audiences about AI.
• Considerations: Public speaking engagements, participation in AI-related educational programs, media contributions, efforts to demystify AI for the general public, and activities aimed at increasing AI literacy and awareness.

Criteria: Collaboration and Community Building

• Explanation: This assesses the individual’s role in building collaborations and contributing to the AI community.
• Considerations: Establishment of collaborative networks, participation in or organisation of AI conferences and workshops, community-building activities, and fostering partnerships across academia, industry, and government.