Jan 31, 2023
Today's panel discussion is an extra special one. We welcome three guests from the Human Technology Institute, or HTI, to talk about how AI can be used and directed for building the kind of future we actually want. Sally Cripps, Edward Santow, and Nicholas Davis offer a host of insightful opinions and reflections from their work in the field, commenting on the most recent developments we are seeing around OpenAI and ChatGPT, prioritising ethics and governance, and how Australia might approach playing an important part in the emerging global landscape. We also spend some time on the responsibilities of third parties and how data science models can most effectively be used for real-world improvements. So if you would like some great perspectives on where innovation is most needed, how the country might proceed in the AI space, and how it all starts with a policy, be sure to listen in!
Key Points From This Episode:
- An introduction to our guests, their backgrounds, and current roles in the cohort.
- A few reflections on the recent developments in and statements about the AI field.
- Sally talks about potential solutions and approaches to current objections about AI.
- The role of governance in AI progress and safety in Australia.
- Approaches to making ethics and governance more tangible across the industry.
- Advice for organisations wanting more information about implementing ethics and governance policies.
- AI and regulation; exploring the contrasting opinions on using AI in the actual process.
- Thoughtful AI in Australia; an argument for the rigour that the country should prioritise.
- The kinds of questions we need to be asking in regard to consumer rights and policy.
- Data science models and the profound influence that these can now have on real-life scenarios.
- Big businesses' obligations when it comes to duty of care and negotiating contracts with partners.
- Closing thoughts on the responsibility of third parties.
Links Mentioned in Today’s Episode:
The Fourth Industrial Revolution
Carnegie Foundation Legal Education Study
Amsterdam City Contractual Terms for Trustworthy Algorithms
Judgment Under Uncertainty: Heuristics and Biases