Explore the business and societal implications of generative AI systems, focusing on adoption, trust, and integration in organizations and communities.
Explore the business and societal implications of generative AI systems, focusing on adoption, trust, and integration in organizations and communities.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Responsible Generative AI Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.9
(14 ratings)
Instructors:
English
فارسی
What you'll learn
Understand the global implications of generative AI products
Evaluate business risks and opportunities in AI adoption
Assess societal impacts of generative AI systems
Make informed decisions about AI implementation
Analyze ethical considerations in AI deployment
Skills you'll gain
This course includes:
1.15 Hours PreRecorded video
4 assignments
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FullTime access
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There are 3 modules in this course
This comprehensive course examines the intersection of generative AI with business operations and societal impacts. Students explore how AI systems affect organizational adoption, user trust, and workplace integration. The curriculum covers critical aspects including business operations, consumer impact, public safety, and environmental considerations. Through practical examples and case studies, learners develop the ability to evaluate both global and local implications of generative AI systems, enabling informed decision-making in their professional roles.
Introduction to the Course
Module 1 · 47 Minutes to complete
Informed Choices: Mitigating Generative AI Risks in Business
Module 2 · 1 Hours to complete
Generative AI's Societal Impact: A Critical Overview
Module 3 · 1 Hours to complete
Fee Structure
Instructor
Data Science Ethics Lecturer
Merve Hickok is a data science ethics lecturer at the University of Michigan, School of Information, and the Responsible Data and AI Advisor at Michigan Institute for Data Science. In addition to her teaching role, Merve is the founder of AIethicist.org. She is a globally renowned expert on AI policy, ethics and governance. Her contributions and perspective have featured in the Guardian, CNN, Forbes, Bloomberg, Wired, Scientific American, Politico, Protocol, Vox, The Economist and S&P. Her work focuses on the impact of AI systems on individuals, society, with a particular focus on fundamental rights, democratic values, and social justice. Merve is also the President and Research Director at Center for AI and Digital Policy, working with global AI policymakers and advocates. The Center educates AI policy practitioners and advocates across 80+ countries, advises international organizations (such as European Commission, UNESCO, the Council of Europe, OECD). Merve has provided testimony to the US Congress, State of California, New York City Department of Consumer and Worker Protection, and Detroit City Council on AI policy and governance. Merve also works with several non-profit organizations globally to advance both the academic and professional research in this field for underrepresented groups. She has been recognized by a number of organizations – most recently as one of the 100 Brilliant Women in AI Ethics™ – 2021, and Lifetime Achievement Award - Responsible AI Leader of the Year – 2023 (Women in AI). Previously, Merve held various senior roles in Fortune 100 companies for more than 15 years.
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4.9 course rating
14 ratings
Frequently asked questions
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