AICS 2022 Keynote – Responsible AI & Cybersecurity: A tale of two technology risks

It was my pleasure to deliver the AICS 2022 keynote yesterday. You can find a subset of the slides below.

As CSIRO’s Data61 engage with our industry and government partners, we often hear tales of disjointed and growing risk types (cybersecurity, AI, privacy, ethics, ESG, sovereignty.. ) and the lament of scarce expertise in each of them. But if you dig deeper, it’s the same tale. You can adopt solutions that lift the entire boat, simultaneously mitigating multiple risks while reserving the most scarce expertise for the most strategic and the most needed.

Title: Responsible AI & Cybersecurity: A tale of two technology risks

Abstract: With the broader adoption of digital technologies and AI, organisations face the emerging risks of AI, the unfamiliar, and the intensified risk of cybersecurity, the familiar. AI and cybersecurity are intertwined, but risk silos are often created when they are dealt with at the technology and governance levels. This talk will explore the interactions between responsible AI and cybersecurity risks via industry case studies. It will show how we can break down the risk silos and use emerging trust-enhancing technologies, architecture and end-to-end software engineering/DevOps practices to connect the two worlds and uplift the risk management posture for both.

Time: 2022.11.12

Venue: Online


About Me

Research Director, CSIRO’s Data61
Conjoint Professor, CSE UNSW

For other roles, see LinkedIn & Professional activities.

If you’d like to invite me to give a talk, please see here & email liming.zhu@data61.csiro.au

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