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Ethics and Governance in the Age of Generative AI
Explore ethical challenges and governance strategies for responsible AI development and deployment. with a specific focus on generative AI
Course Cost
₹ 2,699
Beginner
Skill Level
23 Hours
Self-paced lessons
This course delves into the ethical and technical dimensions of developing and deploying AI models, with a specific focus on generative AI. It examines the ethical and societal considerations of emerging technologies, exploring the unique challenges posed by generative AI. The curriculum covers the mechanics of generative AI, technical strategies for bias reduction, and the interplay between responsible AI (RAI) principles and the generative AI lifecycle. Students will learn about bias and fairness metrics at each stage of AI development, and navigate the landscape of RAI strategy and governance specific to generative AI. By the end of the course, participants will have a nuanced understanding of the ethical and technical intricacies shaping the development and deployment of AI models, particularly generative AI, and be equipped to critically evaluate the impact of these technologies on society.
English
What you'll learn
Critically evaluate the ethical dimensions of emerging technologies and their impact on society
Understand the history, benefits, and potential misuses of generative AI
Grasp the technical foundations of generative AI, including neural networks and deep learning models
Apply Responsible AI (RAI) principles to generative AI development and deployment
Evaluate and mitigate bias in AI models using various metrics and benchmarks
Design and implement RAI workflows in the AI development lifecycle
Develop strategies for ethical AI governance in organizational contexts
Assess the societal implications of generative AI technologies
Skills you'll gain
This course includes:
1 Hours PreRecorded video
24 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This course provides a comprehensive exploration of ethics and governance in the age of generative AI. It begins by examining the ethical dimensions of emerging technologies, with a focus on the unique challenges posed by generative AI. Students will learn about the recent history and evolution of generative AI, its benefits, uses, and potential misuses. The course then delves into the technical foundations of generative AI, covering neural networks and deep learning models. A significant portion of the curriculum is dedicated to Responsible AI (RAI) principles and their application to generative AI, including bias and fairness metrics, RAI workflows, and strategies for integrating RAI into the AI development lifecycle. The course concludes with a module on RAI strategy and governance, preparing students to implement ethical frameworks in real-world AI development and deployment scenarios.
Ethics of Emerging Technologies
Module 1 · 4 Hours to complete
Generative AI: An Emerging Challenge
Module 2 · 3 Hours to complete
How Does Generative AI Work?
Module 3 · 3 Hours to complete
RAI & Generative AI Bias & Fairness Metrics
Module 4 · 4 Hours to complete
RAI & Generative AI: Workflows
Module 5 · 7 Hours to complete
RAI Strategy & Governance
Module 6 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Students
1
Course
Frequently asked Questions
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