AI Ethics and Societal Impact
This course is part of Generative AI for Everyone.
This comprehensive course examines the ethical, economic, and social implications of generative artificial intelligence. Students learn about critical issues including data privacy, biases, copyright infringement, and AI hallucinations. The curriculum covers responsible AI implementation across various domains, exploring impacts on workforce dynamics and organizational practices. Through real-world examples and practitioner insights, participants gain understanding of both practical limitations and ethical considerations. The course emphasizes the importance of transparency, accountability, and safety in AI applications while examining broader societal implications.
4.6
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Instructors:
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What you'll learn
Understand the limitations and ethical concerns of generative AI
Analyze the socioeconomic impacts of AI on workforce and society
Implement responsible AI practices across different domains
Evaluate AI-related privacy and safety considerations
Address ethical challenges in AI implementation
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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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 course provides a comprehensive exploration of generative AI's societal impact and ethical implications. The curriculum covers key areas including AI limitations, ethical concerns, responsible implementation, and socioeconomic effects. Students examine real-world cases of AI applications, study potential misuses like deepfakes, and learn about privacy and safety considerations. The course emphasizes practical understanding through hands-on labs and discussion of real-life scenarios, preparing participants to navigate the ethical challenges of AI technology.
Limitations and Ethical Issues of Generative AI
Module 1
Social and Economic Impact and Responsible Generative AI
Module 2
Course Quiz, Project, and Wrap-up
Module 3
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Generative AI for Everyone
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
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.