This website uses cookies to ensure you get the best experience. Learn more

We Need to Talk About Cultural Bias in AI

What happens when there is bias in AI models?  Radhika Krishnan, Chief Product Officer, recently sat down with ISG Digital Dish hosts, Jeanne Cuff and Missy Lawrence, to discuss the pitfalls of AI bias and the importance of diversity in data science and product development. 

It’s no secret that Radhika is a passionate promoter of diversity in technology. She has been a featured guest at multiple, global conferences where she discusses the impact of biased AI in our daily lives. Her message is loud and clear: diversity is critical because a biased AI model results in flawed decision-making and engenders the ongoing cultural biases we’ve fought hard to overcome. 

Radhika reminds us that without diverse leaders, developers and stakeholders, AI can and will only ever have one perspective. She also offers a positive outlook on what organizations can do to counterbalance bias to create a positive outlook for the future. 

Share this

myGwork
myGwork is best used with the app