Data Science, AI, and Machine Learning: Technology and Ethics for Good

#datascience #aiethics #techforgood

Increasingly, data and technologies such as artificial intelligence (AI) and machine learning are involved with everyday decisions in business and society. From tools that sort our online content feeds to online image moderation systems and healthcare, algorithms power our daily lives.

But with new technologies come questions about how these systems can be used for good – and it is up to data scientists, software engineers and entrepreneurs to tackle these questions.

To learn about issues such as ethical AI and using technology for good, we speak with Rayid Ghani, professor in the Machine Learning Department of the School of Computer
Science at Carnegie Mellon University and former Chief Scientist at Obama for America 2012.

Professor Ghani has an extraordinary background at the intersection of data science and ethics, making this an exciting and unique show!
-- The conversation includes these important topics:
-- About Rayid Ghani and technology for good
-- Why is responsible AI important?
-- What are the ethical challenges in data science and AI?
-- What is the source of bias in AI?
-- What are some examples of AI ethical issues in healthcare?
-- What is the impact of culture in driving socially responsible AI?
-- How can we address human bias when it comes to AI and machine learning?
-- How can we avoid human bias in AI algorithms and data?
-- What skills are needed to create explainable AI and focus on AI ethics and society?
-- What kinds of policy governance is needed to oversee AI algorithms and reduce human bias?
-- How can we increase AI explainability?

Read the complete transcript and see past episodes: https://www.cxotalk.com/episode/data-science-ai-machine-learning-good
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Rayid Ghani is a Distinguished Career Professor in the Machine Learning Department and the Heinz College of Information Systems and Public Policy at Carnegie Mellon University.

Rayid is a reformed computer scientist and wanna-be social scientist, but mostly just wants to increase the use of large-scale AI/Machine Learning/Data Science in solving large public policy and social challenges in a fair and equitable manner. Among other areas, Rayid works with governments and non-profits in policy areas such as health, criminal justice, education, public safety, economic development, and urban infrastructure. Rayid is also passionate about teaching practical data science and started the Data Science for Social Good Fellowship that trains computer scientists, statisticians, and social scientists from around the world to work on data science problems with social impact.

Before joining Carnegie Mellon University, Rayid was the Founding Director of the Center for Data Science & Public Policy, Research Associate Professor in Computer Science, and a Senior Fellow at the Harris School of Public Policy at the University of Chicago. Previously, Rayid was the Chief Scientist of the Obama 2012 Election Campaign where he focused on data, analytics, and technology to target and influence voters, donors, and volunteers. In his ample free time, Rayid obsesses over everything related to coffee and works with non-profits to help them with their data, analytics and digital efforts and strategy.