BioTalent Social Webinar #2: Is there Gender Bias in Data & Technology?
Social awareness of biases, apparent within Biomedical Artificial Intelligence (AI) has recently skyrocketed. A June 2020 article published by Nature, spoke about sex-specific biologic differences still ignored by major Drug Discovery researchers and how women are underrepresented in clinical trials. This is illustrated with an example of the sleep medication Zolpidem which slows down drug metabolism in women, where a study conducted in 2013, found that women who took the recommended dose were found asleep during activities such as driving.
Women in Global Health (WGH), an organization dedicated to challenging power and privilege for gender equity in health, states that to ensure gender bias is not built into the fabric of AI, tech companies must deliberately include female perspectives at all stages of development. And yet, according to the Alan Turing Institute, women hold less than 17% of all available tech jobs.
What could be some of the reasons behind these discrepancies? Join us for another forward-thinking panel discussion as we investigate whether there is Gender Bias in Data and Technology, where we will be joined by industry leaders who will be sharing their valuable insights, experiences and ideas.
- Luchele Mendes - Host & Chair @ BioTalent
- Danielle Ralic, CEO/CTO and co-founder @ Ancora.ai
- Jennifer Cubino - COO, Customer Success and Data Sciences @ BC Platforms
- Sophia Borowka - CEO & Co-Founder @ Aison Technologies
- Lorena Pantano - Principal Scientist @ Axcella
- Ryan Mastro - Partner in the Health Care / Life Sciences practice @ IBM