Ethics of Negotiation and AI

Ends soon! Get one of our best deals with Coursera Plus for $199 (usually $399). Save now.

Ethics of Negotiation and AI

This course is part of Negotiating in the Age of AI Specialization

Instructors: Chris Croft

Included with

Learn more

6 modules

Gain insight into a topic and learn the fundamentals.

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Understand the core ethical principles behind negotiation, decision-making, and responsible AI use in business.
Apply practical frameworks to evaluate risks, improve governance, and work effectively with increasingly advanced AI systems.

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is part of the Negotiating in the Age of AI Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 6 modules in this course

This course helps business professionals understand how ethics changes as AI becomes more integrated into the way we work, negotiate, and make decisions. It combines the foundations of human ethics and negotiation with practical guidance on applying those principles in AI-enabled organisations.

The course begins by exploring the ethics of negotiation and the Four Ethical Pillars that shape responsible human behaviour. From there, it moves through different stages of AI integration — from AI as a support tool, to human-AI collaboration, and eventually autonomous AI agents. At each stage, the course examines the real ethical questions businesses face, including trust, accountability, transparency, bias, decision-making, and governance. Rather than focusing only on theory, the course is highly practical and engaging. Each chapter includes real-world examples, practical readings, and exercises designed to help learners apply ethical thinking directly to business situations. Participants will leave with a clearer understanding of how to use AI responsibly, negotiate more ethically, and make better decisions as AI becomes a larger part of everyday business operations. Ideal for organisations looking to build practical, ethical AI capability across teams and leadership.

Welcome to the course! Here we examine the foundations of trust in a corporation and why it's important.

What's included

4 videos9 readings1 assignment

4 videosTotal 10 minutes

The Strategic Value of Ethics2 minutes
The Ethics- Legal Distinction2 minutes
Common Ethics Challenges in Negotiation3 minutes
The Stakeholder Lens2 minutes

9 readingsTotal 90 minutes

The Speed of Trust10 minutes
The Value of Trust {video}10 minutes
Are your negotiation tactics ethical?10 minutes
Corporate Crime Example {video}10 minutes
Hardball negotiation tactics10 minutes
Dealing with liars in a negotiation {video}10 minutes
Common Ethics Challenges10 minutes
The Lopez Effect10 minutes
What is stakeholder theory? {video}10 minutes

1 assignmentTotal 30 minutes

Introduction to the Ethics of Negotiation30 minutes

Here we introduce the 4 Ethical Pillars - which we will be using throughout the course to assess AI integration into your business. What are our ethical standards as humans and businesspeople?

What's included

4 videos7 readings1 assignment

4 videosTotal 9 minutes

Integrity – The Core Pillars of Trust2 minutes
Transparency – The Right to Know2 minutes
Fairness – Diversity & Context3 minutes
Accountability – Responsibility for Outcomes2 minutes

7 readingsTotal 70 minutes

How to handle corporate disaster10 minutes
Theranos - case study {video}10 minutes
Benefits of Supply Chain Diversity10 minutes
Algorithm bias10 minutes
Taking Responsibility for Outcomes10 minutes
Dangers of full automation10 minutes
What about when AI fails?10 minutes

1 assignmentTotal 30 minutes

The 4 Ethical Pillars - Human Baseline30 minutes

In this section we look at using AI as a tool - for support or augmentation. How that applies to the four pillars and where it sits ethically in your business.

What's included

4 videos7 readings1 assignment

4 videosTotal 9 minutes

Integrity – Ethical Data Acquisition3 minutes
Transparency – The Disclosure Dilemma2 minutes
Fairness – Mitigating Bias in Level 1 AI2 minutes
Accountability – The Human in the Loop2 minutes

7 readingsTotal 70 minutes

Case study: Microsoft's Tay10 minutes
Ethical Data Acquisition10 minutes
Contractual issues using AI10 minutes
Automating Inequality10 minutes
Automated decision-making in social welfare {video}10 minutes
Giving feedback on machine learning10 minutes
Human in the loop10 minutes

1 assignmentTotal 30 minutes

Reviewing experiences with AI30 minutes

In this section we look at the ethics behind replacing team members with AI. We look at the limitation of that and how it will sit for you ethically.

What's included

4 videos6 readings1 assignment

4 videosTotal 10 minutes

Integrity – Defining the Boundaries of Autonomy3 minutes
Transparency – The "Black Box" Challenge in Teaming3 minutes
Fairness – Algorithmic Collusion3 minutes
Accountability – The Governance Framework2 minutes

6 readingsTotal 60 minutes

Responsible AI deployment {video}10 minutes
Defining Boundaries of Autonomy10 minutes
Amazon - AI bias case study10 minutes
Do algorithms harm customers?10 minutes
What happens when the computer fails?10 minutes
Case study: Air France {video}10 minutes

1 assignmentTotal 30 minutes

Considering the ethics of Level 230 minutes

This module looks at giving AI Agents autonomy to make decisions and take actions. We examine the ethical risks with this based on the four pillars.

What's included

4 videos7 readings1 assignment

4 videosTotal 10 minutes

Integrity - Ethical Mandates for Agents3 minutes
Transparency – The Challenge of Radical Disclosure2 minutes
Fairness – The Risk of Systematic Exclusion3 minutes
Accountability – The Ultimate Responsibility2 minutes

7 readingsTotal 70 minutes

Moral crumple zones10 minutes
Radical Disclosure10 minutes
AI disclosure considerations10 minutes
Fairness in negotiation10 minutes
How COVID changed supply chains forever10 minutes
The Ultimate Responsibility10 minutes
Negotiation webinar {video}10 minutes

1 assignmentTotal 30 minutes

Level 3 AI – Autonomous Agents30 minutes

Finally, we look at the systems we need to set up to make sure AI is integrated as ethically and sustainably as possible. To protect all stakeholders whilst still being commercially viable. Let's design organisations to ensure that they integrate AI ethically at all levels.

What's included

4 videos5 readings2 assignments

4 videosTotal 9 minutes

The Ethics of De-skilling2 minutes
Avoiding Personification2 minutes
Managing "Learning" vs. "Learned" AI2 minutes
The Accountability Roadmap2 minutes

5 readingsTotal 50 minutes

AI is coming for your job... now what?10 minutes
AI Attachments10 minutes
Why we fall in love with AI {video}10 minutes
Risk Management Framework10 minutes
AI Risk Management {video}10 minutes

2 assignmentsTotal 60 minutes

Systemic Risks & Governance30 minutes
Final review30 minutes

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Chris Croft

Chris Croft Training

14 Courses1,522 learners

Keith Thomson

Chris Croft Training

0 Courses0 learners

Offered by

Chris Croft Training

Explore more from Business Essentials

Status: Free Trial
Alex Genadinik
AI Ethics
Course
Status: Preview
John Wiley & Sons
Trust and Ethics in AI: A Business Approach
Course
Packt
Ethical Considerations in Business AI Applications
Course
Status: Free Trial
Microsoft
Negotiation and Ethical Practices in Account Management
Course

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.