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AI Ethics

BeginnerCourse

Artificial Intelligence (AI) presents many exciting opportunities for businesses. At the same time it has also put in focus potential ethical problems. In this course on AI Ethics as we delve into today's AI concerns, explore biases, navigate regulations, and learn the concept of trust in the AI world.

4.6 (2k+ Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Enrollment Count

  • 6.07K

Skills You Will Learn

  • Artificial Intelligence, Ethics, Regulations, Trustworthy AI

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 1 hour

Platform

  • SkillsNetwork

Last Update

  • March 13, 2025
About this Course
Explore the ethical and regulatory landscape of Artificial Intelligence (AI) with our thought-provoking short course. Designed for individuals of all backgrounds, this program delves into critical issues, concerns, and considerations surrounding AI, including ethics, bias, regulations, and the concept of Trustworthy AI.

In this course, you will embark on a journey to understand the broader implications of AI beyond its technical aspects. Gain insights into the ethical challenges that arise when AI systems make decisions that impact individuals and society as a whole. Explore the potential biases that can emerge in AI algorithms and learn how to mitigate them to ensure fairness and inclusivity.

Discover the existing and emerging regulations and guidelines governing AI development and deployment. Understand the ethical frameworks and principles that are being established to guide responsible AI practices. Explore case studies and real-world examples that shed light on the practical implementation of ethical guidelines in various industries and sectors.

Learn about Trustworthy AI and the principles and practices that contribute to building AI systems that are reliable, transparent, and accountable. Understand the importance of ensuring privacy, security, and interpretability in AI algorithms and models. Gain insights into the role of human oversight and governance in maintaining the trustworthiness of AI systems.

Whether you are an AI practitioner, a decision-maker, or simply an individual interested in the ethical implications of AI, this course will equip you with the knowledge and tools to navigate the ethical challenges associated with AI.


Course Syllabus

Module 1: AI Concerns
  • Exploring Today's AI Concerns
  • Exploring AI Ethics
  • Defining AI Ethics
  • Summary
Module 2: AI Bias, Regulations, and Trustworthy AI
  • Understanding Bias and AI
  • Lab: Detect the Bias
  • AI Ethics and Regulations
  • AI Ethics, Goverenance, and ESG
  • Foundations of Trustworthy AI
  • Summary

General Information

This is a self-paced course that can be taken at a time and place convenient to you. The initial version does not contain any graded assessments.

Recommended Skills Prior to Taking this Course

This short course is suitable for professionals, managers, executives, and students. It is the designed for anyone exploring issues, concerns and ethical considerations in the world of AI. As such there are no pre-requisites other than basic computer literacy to complete an online course.  It can be accessed with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.

Instructors

Rachel Amity Brown

Tech Ethics Education Program Manager

Technical communicator and instructional designer on a mission to make learning more fun, relevant, and accessible, one course at a time. 8 years @ IBM.

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Rav Ahuja

Global Program Director, IBM Skills Network

Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.

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