Generative AI: Impact, Considerations, and Ethical Issues
Explore ethical implications, limitations, and responsible use of generative AI technology in business and society.
Explore ethical implications, limitations, and responsible use of generative AI technology in business and society.
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 Generative AI Fundamentals 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.
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What you'll learn
Understand generative AI limitations and ethical concerns
Identify responsible AI implementation strategies
Analyze socioeconomic impacts of AI technology
Evaluate AI safety and privacy considerations
Develop frameworks for ethical AI deployment
Skills you'll gain
This course includes:
1.5 Hours PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 3 modules in this course
This comprehensive course examines the ethical implications and societal impact of generative AI technology. Students explore key issues including data privacy, bias, hallucinations, and deepfakes, while learning about responsible AI development and implementation. The curriculum covers economic and social implications, workforce impact, and corporate social responsibility, with emphasis on practical considerations for ethical AI deployment.
Limitations and Ethical Issues of Generative AI
Module 1 · 2 Hours to complete
Social and Economic Impact and Responsible Generative AI
Module 2 · 2 Hours to complete
Course Quiz, Project, and Wrap-Up
Module 3 · 1 Hours to complete
Fee Structure
Instructor
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
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Frequently asked questions
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