The Women in AI Healthcare event series - hosted by Real Chemistry in collaboration with Pharma Brands – brings together dynamic female leaders to discuss the transformative role of artificial intelligence in life sciences. It is also a call to action: to ensure women are not only present, but pivotal in shaping the future of AI in healthcare.
In a new pharmaphorum podcast focused on the important and timely subject of women in AI, web editor Nicole Raleigh spoke with: Kate Eversole, event director at Pharma Brands; Celine Parmentier, EVP, head of global med comms at Real Chemistry; and Emma Slade, head of applied AI at Tangram Therapeutics.
The guests discuss their own work with AI, the risk of training AI models predominantly on male data, and how, within life sciences, women are already shaping, challenging, and advocating for AI. The conversation also touches upon the possible next greatest impacts of AI in the sector, and the need to keep the ‘human in the loop’, as well as the possible negative impacts if AI is relied upon too much.
You can listen to episode 232 of the pharmaphorum podcast in the player below, download the episode to your computer, or find it - and subscribe to the rest of the series – on Apple Podcasts, Spotify, Overcast, Pocket Casts, Podbean, and pretty much wherever else you download your other podcasts from.
Resources mentioned within the conversation are as below:
Kotek, H., Dockum, R., & Sun, C. (2023). Gender Bias and Stereotypes in Large Language Models. arXiv:2304.02485.
UN Women & UNESCO (2020). I'd Blush If I Could: Closing Gender Divides in Digital Skills Through Education.
Tatman, R. (2017). Gender and dialect bias in YouTube’s automatic captions.
Criado-Perez, C. (2019). Invisible Women: Data Bias in a World Designed for Men.
King, M. (2020). The Fix: Overcome the Invisible Barriers That Are Holding Women Back at Work.
You can register to be a part of the women in AI community here: https://www.pharmabrands.ca/womeninai
Information on the survey being run by Dr Michelle Penelope King, on AI and workplace motivation, can be found here: https://lnkd.in/eCg87_7w
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