Bias in AI

Helen talks about the dangers of assumption and generalization in AI and ML and how diversity is key in avoiding this.

02:17       Before the technology gets well developed, we have the opportunity to avoid assumption and bias.

05:10       AI and ML provide a risk that we’ll create lack of choice for people.

07:12       You cannot generalize about a generation.

09:12       Diversity is key in avoiding bias: have a diverse workforce and have a variety of data sets.

11:10        We need a human QA check in the process, not for technical accuracy, but for societal accuracy.

Helen Patton Interview Transcript, October 2019