How to design unbiased, explainable, and privacy-respecting artificial intelligence
About the speaker
Reid Blackman, Ph.D., is the author of the book Ethical Machines (Harvard Business Review Press, July 2022) and Founder and CEO of Virtue, an AI ethical risk consultancy. He is also a Senior Advisor to the Deloitte AI Institute, served as a Founding Member of Ernst & Young’s AI Advisory Board, and volunteers as the Chief Ethics Officer to the non-profit Government Blockchain Association. Reid’s expertise is relied upon by Fortune 500 and Global 1000 companies to speak to and educate their people and to guide them as they create and scale AI ethical risk programs
What we’ll cover
In this hour-long webinar we will take a look at the ways in which organisational culture can shape the way in which technology is created and implemented and the settings required to ensure that issues of bias, privacy and ethical explainability are placed front and centre in the collective mind of any company. The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale.
Already, many companies have suffered real damage when their algorithms led to discriminatory, privacy-invading, and even deadly outcomes. Self-driving cars have hit pedestrians; HR algorithms have precluded women from job searches; mortgage systems have denied loans to qualified minorities. And often the companies who deployed the AI couldn't explain why the black box made the decision it did. In this webinar we’ll explore all of this through the lens of Reid’s new book, Ethical Machine, which provides a guide for any organisation to navigate these issues.
Who’s it for?
The session is designed for the following audience:
- Product managers and designers working in government and non-government organisations
- Developers and technologists interested in expanding awareness of the risks around their craft when designing systems
- CIOs, CTOs and CEOs exploring ways to effectively implement organisational wide systems in relation to AI and emerging technologies
- Students and academics interested in matching practice with theory
Friday the 8th of July 2022, 9:00am to 10:00am AEST.
A link to join the webinar will be provided to registered participants via email beforehand.
After the 50 minute presentation, attendees will be invited to stay for a Q&A session with the panellists for up to 10 mins, and a recording of the webinar will be distributed to all registered participants in the days after the event.
What if I can’t make it?
You're in luck. This webinar will be recorded and published as a video on the Portable website at a later date.
If you cannot make Thursday's event but would like to know when this video goes live you can register for the 'Send me the video' option in the registration section.