AI is often considered to be a field rife with inequality

It lacks measures for social, gender and cultural inclusion. And the machine learning, software and algorithms that underpin AI are widely critiqued for reinforcing harmful biases.

‘Inclusivity comes under two categories: Is it accessible and usable by everyone? And does it support those who are marginalised and discriminated against?’ – Matt Sinclair, IoT and AI Lead Australia, Microsoft.

By tuning into this one-hour Tech Talks replay, you’ll be able to:

• hear from recognised experts as they present compelling arguments on whether AI is truly inclusive
• discover fascinating research evidence and practice examples to support positive and negative stances on the topic
• learn about the current challenges in making AI more inclusive.

Learn more: https://www.monash.edu/it/tech-talks