Master AI business transformation, algorithmic fairness, and governance principles for competitive advantage in enterprise settings.
Master AI business transformation, algorithmic fairness, and governance principles for competitive advantage in enterprise settings.
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 AI For Business 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.
4.8
(210 ratings)
12,944 already enrolled
Instructors:
English
What you'll learn
Understand AI-driven business transformation strategies
Explore tools and methods for implementing AI in enterprise settings
Learn to recognize and address algorithmic bias and fairness issues
Develop responsible AI governance frameworks
Master principles of explainable AI and data protection
Skills you'll gain
This course includes:
4.7 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course explores AI-driven business transformation and governance strategies. Students learn about the economics of AI, tools for lowering AI adoption barriers, and practical implementation across industries. The curriculum covers algorithmic bias, data protection, explainable AI, and responsible governance frameworks. Special emphasis is placed on building fair algorithms, managing privacy concerns, and developing ethical AI policies for enterprise settings. The course combines theoretical knowledge with real-world applications in BioPharma and other industries.
Economics of AI
Module 1 · 2 Hours to complete
AI Innovation
Module 2 · 2 Hours to complete
Algorithmic Bias and Fairness
Module 3 · 1 Hours to complete
AI Governance and Explainable AI
Module 4 · 2 Hours to complete
Fee Structure
Instructors
Professor of Legal Studies and Business Ethics at the University of Pennsylvania
Kevin Werbach is a prominent professor of Legal Studies and Business Ethics at the Wharton School, University of Pennsylvania, recognized for his expertise in the business, legal, and social implications of emerging technologies such as broadband, big data, and blockchain. With over two decades of experience at the intersection of the Internet, digital media, and communications, he has made significant contributions to technology policy. Werbach served on the Obama Administration’s Presidential Transition Team and was instrumental in shaping U.S. internet policy during the Clinton Administration as Counsel for New Technology Policy at the Federal Communications Commission. He founded the Supernova Group, a technology consulting firm that organizes high-level technology conferences. Additionally, he created one of the most successful massive open online courses, attracting nearly half a million enrollments. His publications include influential books such as The Blockchain and the New Architecture of Trust and For the Win: How Game Thinking Can Revolutionize Your Business. He has also edited the notable technology newsletter Release 1.0. In recognition of his teaching excellence, Werbach was named Wharton's first-ever Iron Prof in 2010. Follow him on Twitter @kwerb for insights on technology and policy.
Professor
Kartik Hosanagar is a distinguished Professor at The Wharton School of the University of Pennsylvania, where he specializes in the digital economy, focusing on internet media, marketing, and e-commerce. Recognized as one of the world's top 40 business professors under 40, he has received multiple teaching awards, including the MBA and Undergraduate Excellence in Teaching awards at Wharton. His research contributions have earned accolades such as the best paper award at the Consortium on Technology Policy and Management.In addition to his academic achievements, Kartik is a co-founder of Yodle Inc., a venture-backed company recognized among the top 50 fastest-growing private firms in the U.S. He has served on advisory boards for various startups and has consulted for major corporations like Google, Nokia, and American Express. Kartik holds a Bachelor's degree in Electronics and a Master's in Information Systems from Birla Institute of Technology and Sciences (BITS, Pilani), India, along with an MPhil and PhD in Management Science and Information Systems from Carnegie Mellon University.At Wharton, he teaches several courses that bridge technology and entrepreneurship, including "AI Applications in Marketing and Finance," "Entrepreneurship 1: Developing the Opportunity," and "Wharton Entrepreneurship Capstone." Through these courses, Kartik equips students with the knowledge and skills necessary to navigate the complexities of modern business landscapes.
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4.8 course rating
210 ratings
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