Inclusive and Reliable AI – When?

The AJCAI Conference and the AI at Melbourne Colloquium are excited to present a special session: Inclusive and Reliable AI – When?

Join us for an insightful event featuring four guest speakers and a panel discussion, each exploring key aspects of ethical, safe, and inclusive AI.

The session will be followed by lunch, refreshments, and an excellent opportunity to network with fellow attendees.

Order of Presentations

Prof. Jeannie Paterson | The University of Melbourne

Navigating the web of initiatives for AI standards and guardrails in Australia: why transparency matters for safe and inclusive AI

While AI offers tremendous opportunities for Australian society, its risks and the threats it enables are also becoming more apparent. Significantly these risks include bias, exclusion and division. The Commonwealth Government has recently announced a suite of law reform initiatives affecting the development and deployment of AI in Australia. In this presentation, Jeannie considers why transparency is a necessary but not sufficient value in responding to risks of bias and promoting safe and inclusive AI.

Anthony McCosker | Swinburne University of Technology

Establishing an AI capabilities lab to address the problem of Inclusive AI

Attention to the development and application of responsible AI often overlooks the issue of inclusivity or subsumes it within notions of bias and dataset diversity. The establishment of

inclusive AI practices and generative AI technologies is paramount to ensuring equitable and beneficial outcomes for all segments of society. This presentation elaborates on current approaches to inclusive AI and sets out some directions for research. It explores the foundational work of establishing an AI Capabilities Lab dedicated to building an evidence base and fostering inclusivity and innovation in AI development. The AI Capabilities Lab, developed as part of an ARC Centre of Excellence for Automated Decision Making and Society flagship project aims to bridge the gap between AI technologies and the diverse needs of our communities. By focusing on digital inclusion and the critical capabilities needed for inclusive AI, the lab seeks to address the challenges and opportunities presented by AI transformations. In addition to outlining the Lab's innovative methodology for studying AI capabilities 'in the wild', this paper explores (a) inclusive AI frameworks; (b) diversity, creativity and criticality in generative AI technologies; (c) community engagement and education methods; (d) the importance of collaborative research partnerships. Through these elements the AI Capabilities Lab aims to address both the opportunities and challenges posed by generative AI in society.

Rahil Garnavi | RMIT University

How can ethical AI practices enhance trust and lead to a higher return on investment?

In an era where AI is becoming increasingly integral to business operations, understanding and implementing Responsible AI is crucial for both ethical integrity and financial success. This talk will cover the definition of Responsible AI, the principles behind AI governance, and practical steps for integrating these practices into the organization. We'll explore how implementing ethical AI practices can significantly enhance trust and lead to a higher return on investment.

Rita Arrigo | National AI Centre

Inclusive and responsible AI: AI bias impact, challenges and ethical considerations

The integration of Artificial Intelligence (AI) into Australian businesses presents an exciting opportunity to enhance productivity and innovation. However, it also brings forth significant challenges, particularly concerning AI bias and ethical considerations. This talk will explore how fostering an environment that encourages the development and adoption of Responsible AI by delving into the recently launched voluntary AI Safety Standard.

This standard aims to provide comprehensive guidance and best practices for businesses and individuals involved in AI development and usage. In this session you will gain insights into the opportunities and challenges associated with inclusive and responsible AI, and to understand the pivotal role Responsible AI in shaping the future of AI in Australia

Panel: Defining Ethics and Bias in AI

Moderator: Geoff Webb | Monash University

Event Details

Date: Friday, 29 November 2024

10:30am

Prof. Jeannie Marie Paterson | The University of Melbourne

Navigating the web of initiatives for AI standards and guardrails in Australia: why transparency matters for safe and inclusive AI

10:55am

Prof. Anthony McCosker | Swinburne University of Technology

Establishing an AI capabilities lab to address the problem of Inclusive AI

11:20am

Prof. Rahil Garnavi | RMIT University

How can ethical AI practices enhance trust and lead to a higher return on investment?

11:45am

Rita Arrigo | National AI Centre

Inclusive and responsible AI: AI bias impact, challenges and ethical considerations

12:10 – 12:30pm

Panel: Defining Ethics and Bias in AI

Moderator: Prof. Geoff Webb | Monash University

12:30pm-1:10pm

Networking and Refreshments

Venue: Melbourne Connect, The Forums, Level M

700 Swanston Street, Carlton

Host or Publisher Melbourne Connect