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AI Ethics for Business Leaders: Responsible AI Decisions
Role Play
Rating: 4.0 out of 5(25 ratings)
162 students

AI Ethics for Business Leaders: Responsible AI Decisions

Apply ethical AI to bias, privacy, fairness, oversight and stakeholder impact with a practical toolkit and role play
Last updated 8/2026
English
English [Auto],

What you'll learn

  • Identify AI bias and fairness risks in business decisions and apply practical checks to reduce unsupported assumptions and unequal outcomes.
  • Protect data privacy and sensitive business information when using generative AI and AI-supported tools in workplace decisions and workflows.
  • Evaluate AI transparency and explainability from a business leadership perspective so people can question, understand, and challenge AI-supported outcomes.
  • Assess the societal and stakeholder impact of AI by identifying who benefits, who bears risk, who may be overlooked, and who can challenge decisions.
  • Apply a practical ethical decision-making process to AI-supported business choices involving uncertainty, tradeoffs, accountability, and human judgment.
  • Design responsible AI implementation practices with clear human oversight, decision rights, escalation paths, and safeguards for exceptions and breakdowns.

Course content

6 sections • 12 lectures • 51m total length
  • AI Ethics for Business Leaders: What Responsible AI Decisions Require4:07
  • How to Use the Ethical AI Business Decision Toolkit1:29

    How can you apply AI ethics to real business decisions while taking this course and after it ends? Learn how to use the Ethical AI Business Decision Toolkit as a practical companion for privacy, bias and fairness, decision rights, human oversight, stakeholder impact, transparency, workflow control and escalation. Use the relevant worksheets as each ethical issue appears rather than treating responsible AI as a one-time checklist.

  • How to Make Ethical AI Decisions: Options, Tradeoffs and Scenarios4:44

    How can leaders use AI to improve decision-making without allowing the technology to become the decision-maker? Explore how artificial intelligence can support options, scenarios and tradeoff analysis while preserving human judgment, accountability and responsibility. This lecture establishes a practical foundation for ethical AI decisions involving uncertainty, competing priorities and consequential business choices.

Requirements

  • No technical AI, data science, programming, or machine learning experience is required. This course is designed for learners interested in AI ethics, ethical AI use in business, responsible AI, generative AI, AI governance, human-centered AI, AI bias and fairness, data privacy, AI transparency, human oversight, accountability, stakeholder impact, and ethical AI decision-making. Familiarity with common workplace uses of artificial intelligence is helpful but not required. Bring an interest in making better business decisions as AI becomes part of everyday leadership, management, and organizational workflows.

Description

This course contains the use of Artificial Intelligence.

Artificial intelligence is changing how managers and business leaders make decisions, evaluate information, design workflows, and lead teams. The opportunity is significant, but so is the responsibility.

AI Ethics for Business Leaders: Responsible AI Decisions is a practical course for leaders who want to use artificial intelligence confidently without losing sight of fairness, privacy, accountability, transparency, human judgment, and stakeholder impact.

This is not an abstract philosophy course and it is not a technical artificial intelligence course. You will not spend your time learning how models are coded or memorizing theory. Instead, you will learn how to recognize and respond to ethical issues that arise when artificial intelligence begins influencing real business decisions.

You will explore how to use artificial intelligence to examine options, tradeoffs, and scenarios without allowing the technology to quietly become the decision-maker. You will learn how to protect sensitive business information, recognize bias and unsupported assumptions, and evaluate whether an artificial intelligence supported outcome deserves trust.

You will also examine one of the most important questions in responsible artificial intelligence: who is actually accountable when artificial intelligence influences a decision?

The course shows you how to define decision rights between people and artificial intelligence and how to move beyond ceremonial human review toward meaningful human oversight. You will learn to ask whether people can genuinely question, correct, override, and challenge artificial intelligence supported outcomes when necessary.

You will also widen the ethical lens by considering stakeholder impact. Who benefits from an artificial intelligence supported decision? Who bears the risk? Who may be overlooked? Who has a voice? Who has the ability to challenge the result?

From there, you will move into responsible artificial intelligence implementation. You will examine how human and artificial intelligence workflows can preserve accountability and what leaders should do when exceptions, breakdowns, recurring problems, or workarounds begin to appear.

This course is designed to help you move from knowing that AI ethics matters to knowing what to do when a real ethical concern appears.

You will practice that judgment in an interactive Role Play involving a realistic ethical concern about an artificial intelligence supported business decision. Instead of simply recalling definitions, you will need to investigate the concern, consider fairness and stakeholder impact, clarify human accountability, and determine an appropriate next step.

You will also receive the Ethical AI Business Decision Toolkit, a practical companion resource you can continue using after the course. The toolkit includes worksheets and decision checks for artificial intelligence use and decision context, data privacy, bias and fairness, human-artificial intelligence decision rights, meaningful human control, stakeholder impact, transparency and trust, workflow design, exception management, escalation, and responsible implementation.

The toolkit also includes a One-Page Ethical AI Business Decision Review that brings the major questions together when you need a practical way to evaluate a consequential artificial intelligence use.

This course is especially relevant for managers, team leaders, business leaders, supervisors, project leaders, aspiring managers, aspiring leaders, and professionals responsible for decisions influenced by artificial intelligence or generative artificial intelligence.

No technical background, programming experience, or data science knowledge is required.

By the end of the course, you will have a practical framework for thinking through artificial intelligence ethics in business and greater confidence addressing questions involving AI bias and fairness, data privacy, transparency, accountability, human oversight, stakeholder impact, responsible AI implementation, and ethical decision-making.

You will be learning with Crystal Hutchinson and Pursuing Wisdom Academy, an instructor brand chosen by more than 100,000 students around the world. Crystal’s broader course catalog includes leadership, management, artificial intelligence, responsible AI, and related workplace topics, allowing you to continue building your skills as your responsibilities grow.

Artificial intelligence will continue to change. The tools will change. Business applications will change. But leaders will still need to decide what should be trusted, what deserves to be questioned, who remains accountable, and how people should be protected when technology influences consequential decisions.

If you are looking for a practical AI ethics course built around real business leadership decisions rather than abstract theory, this course is designed for you.

Enroll now in AI Ethics for Business Leaders: Responsible AI Decisions and build the judgment, tools, and confidence to help your organization use artificial intelligence responsibly.

Who this course is for:

  • This course is designed for managers, team leaders, business leaders, aspiring managers, aspiring leaders, supervisors, project leaders, and professionals responsible for decisions influenced by artificial intelligence. It is also relevant for professionals interested in AI ethics, responsible AI leadership, ethical AI adoption, human-centered AI, AI governance, risk, compliance, organizational decision-making, and the responsible use of generative AI in business. It is especially useful for leaders who want practical ways to balance innovation and efficiency with fairness, privacy, transparency, accountability, human judgment, stakeholder impact, and responsible AI implementation.