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Responsible AI Governance & Ethics Essentials

Packt via Coursera

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Details

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

6 weeks, 1 hour a week
Sessions

Self-Paced
Level

Beginner
Subtitles

English

Found in

Overview

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This course provides an in-depth understanding of AI ethics, governance, and the critical challenges in responsible AI development. Learn to manage privacy, security, and the social impacts of AI. Equip yourself with the necessary tools for ethical AI leadership and policy development. This course provides an in-depth understanding of AI governance and ethics, starting with the fundamentals of responsible AI development. You will learn about key ethical principles and frameworks that guide AI innovation, along with ethical challenges such as bias, fairness, and transparency. As you progress, you'll dive into critical topics like privacy, data security, and ethical data management. You’ll gain practical insights into the risks of AI deployment and the essential strategies to mitigate those risks. This course is designed for AI professionals, ethical AI leaders, and policymakers aiming to enhance their understanding of responsible AI practices. It’s also suitable for anyone involved in the design, implementation, or regulation of AI systems, including developers, data scientists, and security officers. By the end of this course, you will have gained a thorough understanding of AI ethics, governance, and policy development. You will be able to navigate AI risks, tackle issues like bias and fairness, and implement ethical AI practices. Additionally, you’ll be prepared to lead the charge in creating and enforcing responsible AI policies, making you an essential asset in shaping the future of AI across industries. This course is ideal for AI professionals, policymakers, ethics officers, and anyone involved in AI system development, implementation, or regulation. It’s also perfect for those looking to enhance their knowledge of responsible AI practices and governance. A basic understanding of AI principles is beneficial, but not required. This course will help professionals lead ethical AI initiatives and shape responsible AI policies across industries. The course combines foundational theory with practical case studies and demonstrations. It offers a hands-on approach to understanding AI ethics and governance through real-world examples, discussions, and policy development frameworks. Learn at your own pace with access to interactive content and quizzes. This course is based on Responsible Automated Intelligence(AI) Governance & Ethics Essentials, by Digital Crest Institute. This video is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

Introduction
- This module introduces learners to the foundation of responsible AI ethics, including the course's goals, instructor background, and essential resources for effective learning.
Module 1 - Introduction to AI Ethics
- This module introduces the foundational concepts of AI ethics, exploring key principles, ethical frameworks, and real-world challenges in AI development. Learners will gain an understanding of how ethical considerations shape responsible AI systems and how to apply these principles in practical scenarios.
Module 2 - Responsible AI Development
- This module explores key principles of responsible AI development, including strategies for addressing bias, ensuring transparency, and implementing accountability and governance frameworks. Learners will gain practical insights into ethical AI practices and their real-world applications.
Module 3 - Privacy and Security in AI
- This module explores key issues surrounding privacy and security in AI, including ethical data management, risk mitigation, and the role of end user licenses. Learners will gain an understanding of how to identify and address ethical challenges in AI systems.
Module 4 - Social and Ethical Impacts of AI
- This module explores the social and ethical implications of AI, focusing on automation's impact on employment, the ethical use of AI in society, and real-world examples of AI systems like ChatGPT and Bard. Learners will gain a deeper understanding of responsible AI development and its effects on communities and individuals.
Module 5 - Policy Development
- This module explores the essential process of developing ethical AI policies, emphasizing their role in responsible AI governance. Learners will gain insights into the key elements of ethical AI policies and how they evolve with technological changes. It also covers the importance of leadership in fostering an ethical AI culture.