In a recent episode of Techzine Talks on Tour, Reggie Townsend, VP of Data Ethics at SAS, discusses the complex interplay of ethics in AI. He highlights that while bias in data is inevitable due to human involvement, distinguishing between harmful bias and constructive representation is crucial. Townsend also talks about the dual-edged sword of synthetic data, which can improve research conditions but risks introducing new biases. Lastly, he emphasizes the need for companies to start bold initiatives in AI ethics, aiming for transparency and bridging the trust gap.
"My job is to make sure that wherever our software shows up, we help people to thrive."
"Bias exists because humans exist. The real question isn't about eliminating bias entirely but distinguishing between harmful bias and purposeful representation."
"Synthetic data can fill crucial gaps in fields but risks creating self-referential systems that generate new biases."
"We need to bridge the trust gap through transparency and improved global literacy about these technologies."
Collection
[
|
...
]