Ethics & AI: Gender, Race and Computer Science - ERP Spain.com - España y América Latina

Artificial Intelligence systems are built on historical data, but data and humans are intrinsically biased. AI is a reflection of society — including all of our biases, including gender and race. In this webinar led by Elsevier's Holly Falk-Krzesinski, our panelists will discuss the issues that face AI, including the need for a concerted effort to address and correct systemic bias issues in AI. Professor Janet Abbate, Virginia Tech, and Swathi Young, CTO of Integrity Management Services, and Elisabeth Ling, senior vice president of data science at Elsevier, will share their experiences working in the field and their research on gender, race and computer science. We will also share insights from our recent report, "The research journey through a gender lens," which examines research participation, career progression and perceptions across 26 subject areas, including Computer Science