Diya Wynn, Senior Practice Manager in Responsible AI for AWS Machine Learning Solutions Lab, joins Corey on Screaming in the Cloud to discuss her team’s efforts to study and implement responsible practices when developing AI technology. Corey and Diya explore the ethical challenges of AI, and why it’s so important to be looking ahead for potential issues before they arise. Diya explains why socially responsible AI is still a journey, and describes how her and her team at AWS are seeking to forge that path to help their customers implement the technology in a safe and ethical way. Diya also describes her approach to reducing human-caused bias in AI models.
About Diya
Diya Wynn is the Senior Practice Manager in Responsible AI for AWS Machine Learning Solutions Lab. She leads the team that engages with customers globally to go from theory to practice - operationalizing standards for responsible Artificial Intelligence/Machine Learning and data. Diya leads discussions on taking intentional action to uncover potential unintended impacts, and mitigate risks related to the development, deployment and use of AI/ML systems. She leverages her more than 25 years of experience as a technologist scaling products for acquisition; driving inclusion, diversity & equity initiatives; leading operational transformation across industries and understanding of historical and systemic contexts to guide customers in establishing an AI/ML operating model that enables inclusive and responsible products. Additionally, she serves on non-profit boards including the AWS Health Equity Initiative Review Committee; mentors at Tulane University, Spelman College and GMI; was a mayoral appointee in Environment Affairs for 6 consecutive years and guest lectures regularly on responsible and inclusive technology. Diya studied Computer Science at Spelman College, the Management of Technology at New York University, and AI & Ethics at Harvard University Professional School and MIT Sloan School of Management.
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