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