Introduction to Responsible AI Engineering

Artificial intelligence (AI) is expected to be worth $22.17 trillion to the global economy by 2030, but poorly developed AI solutions can have serious consequences, from data and privacy breaches to ethical issues.

Because of this, it's critical that AI systems are designed responsibly right from the very beginning. Organisations that design responsible AI systems will not only stand out from the competition but will likely win market share based on their ability to earn and retain trust from the communities they serve.

To ensure Australian businesses are equipped with the knowledge and tools needed to responsibly create these systems, the National AI Centre's (NAIC) Responsible AI Network (RAIN) will host a series of workshops to guide attendees through the design process.

The first event in this series, 'Introduction to Responsible AI Engineering’ will walk you through the development and application of responsible AI.

Pricing

• Free

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Rita Arrigo

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Hosted by NAIC Strategic Engagement Manager Rita Arrigo and Responsible AI Science Team Lead at CSIRO’s Data61 and Women in AI Awards 2023 finalist Dr Qinghua Lu, ‘Introduction to Responsible AI Engineering’ will:

• Guide you through responsible AI creation, methods and practice
• Explain how to put AI ethics principles into practice
• Explore the different levels of governance required for responsible AI systems
• Demonstrate how to create responsible AI by design using the Responsible AI Pattern Catalogue
• Show you how to build foundation model based systems
• Discuss responsible AI in the era of ChatGPT
• Diversity and Inclusion requirements for Responsible AI

Kickstart your responsible AI journey and register above.

A recording of this webinar will be made available on the Responsible AI Network webpage following the event.

Rita Arrigo, Strategic Engagement Manager of the National AI Centre

A renowned AI thought leader and advocate for technological innovation and adoption, Rita Arrigo specialises in the considered application of cutting-edge technology to industry challenges.

She previously held the position of Deputy Director at the Centre of Industrial AI Research and Innovation and Chief Digital Advisor at Microsoft and is now the driving force behind the National AI Centre's world-first Responsible AI Network.

Rita is collaborating with leaders across the technology ecosystem to develop best practice guidelines to enable the responsible development and application of AI. Connect with Rita here.

Dr Qinghua Lu, Team Leader of CSIRO's Data61 Responsible AI Science group

Nominated for a Women in AI 2023 Trailblazer Award and an author of over 150 papers published in premier journals and conferences, Dr Qinghua Lu is an expert in engineering responsible AI systems.

Dr Lu is a senior member of the Institute of Electrical and Electronics Engineers and recently co-created a Responsible AI Pattern catalogue containing 60 patterns to assist stakeholders at all levels in implementing responsible AI in practice.

Dr Lu's team at CSIRO's Data61 provide specialist advice, information, and tools needed to make AI products responsible and robust. Connect with Dr Lu here.

Dr Muneera Bano, Senior Research Scientist within the Diversity and Inclusion in Artificial Intelligence Program at CSIRO’s Data61

2019’s ‘Most Influential Asian-Australian Under 40’, a Superstar of STEM and a member of the Equity, Diversity and Inclusion Committee of Science and Technology Australia, Dr. Muneera Bano is a Senior Research Scientist within the Diversity and Inclusion in Artificial Intelligence Program at CSIRO’s Data61.

Muneera has authored over 50 articles in prestigious international journals and conferences within the software engineering field, while her expertise and passion for diversity and inclusion, and AI are reflected in her research on socio-technical and human-centred technologies. Connect with Dr. Bano here.