White Paper

Data Literacy for Responsible AI


70% of customers expect organizations to provide AI interactions and products that are transparent and fair (Capgemini). Now more than ever, organizations need to govern deployed AI systems to minimize harm for end-users and organizational risk. In this white paper co-written with the Trusted AI team at DataRobot, we outline:

  • The importance of developing responsible AI and what it means for organizations today

  • Practical solutions data teams and organizations can adopt to mitigate risk in AI systems

  • The crucial role data literacy plays when scaling responsible AI and aligning stakeholders on AI Governance frameworks

Ted Kwartler

VP, Trusted AI, DataRobot

Ted Kwartler is Vice President, Trusted AI at DataRobot. In that role, he sets product strategy for explainable and ethical uses of data technology. Through his current position and his previous employment in a major insurance company and the IT industry, he brings unique insights and experience with data ethics and transparency. Ted also teaches at the Harvard University Extension School and serves as an advisor to the Bureau of Economic Affairs' Advisory Committee on Data for Evidence Building.

Haniyeh Mahmoudian, PhD

Global AI Ethicist, DataRobot

Haniyeh is a Global AI Ethicist at DataRobot's Trusted AI team. Her research focuses on bias, privacy, robustness and stability, and ethics in AI and Machine Learning. She has a demonstrated history of implementing ML and AI in a variety of industries and initiated the incorporation of bias and fairness feature into DataRobot product. She is a thought leader in the area of AI bias and ethical AI. Haniyeh holds a PhD in Astronomy and Astrophysics from the Rheinische Friedrich-Wilhelms-Universität Bonn. 

Sarah Khatry

Managing Director, AI Ethics, DataRobot

Sarah Khatry is a managing director on the Trusted AI team at DataRobot. Her work focuses on the ethical use of AI, particularly the creation of tools, frameworks, and approaches to support responsible but pragmatic AI stewardship, and the advancement of thought leadership and education on AI ethics.

Adel Nehme

Data Science Evangelist at DataCamp

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.

Connect with Adel on LinkedIn and Twitter.

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