Learn to implement ethical frameworks in AI and data science initiatives. Master practical approaches to building trustworthy AI systems.
Learn to implement ethical frameworks in AI and data science initiatives. Master practical approaches to building trustworthy AI systems.
This comprehensive course addresses the critical intersection of ethics and artificial intelligence in the Fourth Industrial Revolution. It equips business leaders and data professionals with practical frameworks for implementing ethical principles in AI and data science initiatives. The curriculum explores key challenges including privacy, security, and transparency while providing actionable strategies for building trust and accountability. Students learn to develop ethical frameworks that balance technological innovation with responsible stewardship, focusing on practical approaches to technical and business challenges in AI implementation.
4.2
(25 ratings)
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Instructors:
English
Arabic, German, English, 9 more
What you'll learn
Analyze ethical challenges in AI and data science implementation
Evaluate the business and societal impacts of artificial intelligence
Develop frameworks for implementing AI principles in organizations
Implement practical strategies for ethical AI development
Create accountability and transparency measures in AI systems
Apply ethical considerations to real-world AI applications
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
This course focuses on implementing ethical principles in AI and data science initiatives. It addresses key challenges in the Fourth Industrial Revolution, including privacy, security, and transparency. The curriculum covers ethical frameworks, practical implementation strategies, and methods for building trust and accountability in AI systems. Special emphasis is placed on balancing technological innovation with responsible stewardship and developing practical approaches to ethical challenges in AI deployment.
Welcome
Module 1
The State of Ethics, Trust & Responsibility with AI and Data Science
Module 2
What Do We Mean by Artificial Intelligence (AI) and Data Science and Why It Matters
Module 3
Strategies (& Challenges) of Putting Ethics & Responsibility into Practice
Module 4
Fee Structure
Instructor

4 Courses
AI Ethics Pioneer and Responsible Innovation Leader
Alka Roy is a distinguished technology leader and innovator who serves as the founder of RI Labs and The Responsible Innovation Project. Her multifaceted career spans product development, emerging technologies, and responsible innovation, with significant contributions to AI ethics and technology leadership. As a former Director of Product and Emerging Tech at AT&T, she successfully launched over 100 innovative Wireless, Cloud, and AI products, including establishing AT&T's Bay Area 5G co-create lab. Her current work focuses on guiding business leaders and organizations in responsible innovation practices, particularly in AI and emerging technologies. She has developed globally-accessed courses on Ethics in AI & Data Science for the Linux Foundation, reaching learners in over 83 countries. Her academic contributions include guest lecturing at UC Berkeley and the University of Notre Dame on Entrepreneurship and Responsible Innovation. Roy holds patents in policy and security frameworks and combines technical expertise (Computer Science & Electrical Engineering degree) with creative thinking (MFA in creative writing). Her contributions have earned her recognition on the 100 Brilliant Women in AI & Ethics List and the National Women of Color in Technology Outstanding Contribution Award. Through her leadership of the LF AI & Data's Trusted AI Committee, she has helped establish principles for responsible AI development that influence the broader technology ecosystem
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4.2 course rating
25 ratings
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