Generative AI- Workplace: Legal, Ethical, Responsible AI Use

Name: Generative AI- Workplace: Legal, Ethical, Responsible AI Use
Rating: 4.4 (79 reviews)

Learn the basics of legal, ethical & responsible use of artificial intelligence (AI) in workplaces -i.e. generative AI

Role Play

Created byJohn Courtenay

Last updated 3/2026

English

What you'll learn

An explanation of the basics of artificial intelligence (AI)
Types of AI found in a workplace environment
Laws and regulations surrounding AI
Ethical principles of AI in business
Practical applications of AI and associated risks
Risk assessments in terms of AI

Course content

8 sections • 25 lectures • 1h 16m total length

Introduction1:20
Explore the legal and ethical use of artificial intelligence in the workplace, including generative AI like ChatGPT, regulations, data protection, ethics, and practical applications.
What is artificial intelligence (AI)?3:14
Define artificial intelligence and its learning-from-data basis. Explore narrow, general, and generative AI, with examples like virtual assistants, spam filters, streaming recommendations, and chatbots.
Section 1 Quiz

Automation2:01
Explore how automation uses AI to handle repetitive tasks with greater speed and accuracy, including RPA, invoice processing, payroll, and chatbots, while highlighting limitations and human oversight per GDPR.
Analytics2:17
Analyze large data volumes to uncover insights, trends, and anomalies with AI analytics. Apply analytics-based AI to sales forecasts, demand planning, healthcare diagnostics, and marketing insights, with human oversight needed.
Generative AI1:46
Decision support2:35
Section 2 Quiz

Workplace AI policies - overview2:55
Learn how workplace ai policies protect data, reduce misuse, and define what can or cannot go into an ai system. Discuss personal data, special category data, and clear usage examples.
Workplace AI policies - what to include5:36
Outline the purpose, scope, and acceptable versus unacceptable AI use in organizations, covering data privacy, ownership, disclosure, and consequences for misuse to guide responsible workplace AI policies.
Section 4 Quiz

Challenges of shadow IT3:36
Usage example - Call centres3:06
Explore how AI can enhance call centers through chatbots, KYC and AML checks, and letter writing templates, while emphasizing data privacy, human oversight, and transparent customer interactions.
Usage example - Hospitals2:23
Usage example - Recruitment3:19
Explore how AI enhances recruitment with screening, interview scheduling, automated communications, and ad placement, while addressing GDPR transparency and the need for human review of automated decisions.
Section 5 Quiz

Governance and accountability2:29
Explore governance and accountability in artificial intelligence, including human in command, human in the loop, accountability and ownership, and algorithmic impact assessment, with regulator expectations.
Transparency and trust3:29
Explore transparency and trust in ai by distinguishing interpretability from explainability, and applying transparency by design, ai disclosure, data provenance, and data minimization to ensure compliant, accountable ai.
Section 6 Quiz

Risk assessments5:15
Identifying stakeholders2:04
Risk categories4:59
Explore six AI risk categories: legal and compliance, ethical and fairness, data and privacy, operational, reputational, and security/IP risk, and learn to identify issues from GDPR violations to model drift.
Residual risks2:09
Ongoing monitoring1:58
Maintain ongoing monitoring of AI risks, log issues via the IT service desk, reassess with a DPIA, and track model drift as laws and GDPR obligations evolve across borders.
Section 7 Quiz

Ethical principles overview3:32
Explore key ethical principles for AI in the workplace, including transparency and explainability, GDPR rights, fairness, accountability, human oversight, privacy and data governance, and safety and reliability.
Fairness & bias mitigation4:45
Explore fairness and bias mitigation in AI, preventing discrimination by age, disability, or race. Learn data-level rebalancing, in-processing, and calibration techniques for equitable predictions.
Transparency & explainability1:54
Explore transparency and explainability in AI, detailing data collection and use, AI processes and limitations, training data, evaluation, and algorithms, and healthcare as an assistant.
Practical applications of AI3:36
Section 8 Quiz

Requirements

No previous experience required

Description

This course contains the use of artificial intelligence

** Now with role play and quiz questions at the end of each section! **

Over this course, you will learn the basics of legal and ethical use of artificial intelligence (AI) in a workplace setting as well as how to create policies to ensure responsible usage of AI and protect your organisation from any unnecessary risks.

Some of the topics covered in this course are as follows:

* An explanation into the basics of artificial intelligence (AI) and what exactly it is, including some of the basic concepts

* Types of AI that you might find in use in a workplace (Automation, Analytics, Generative AI and decision support)

* Laws and regulations surrounding AI (for example, this would be GDPR within the European Union (EU)

* Ethical principles of AI in business (for example, fairness and bias mitigation, along with transparency and explainability)

* Practical applications of AI and the associated risks involved when building and or purchasing them

Although artificial intelligence is a fairly new technology, it is becoming more advanced as time goes on, meaning that knowledge of all of the above will become more important than ever. As AI is an evolving field, it is my intention to update this course on a regular basis, to ensure that the knowledge within it remains useful and up-to-date.

Who this course is for:

Anyone wanting to learn the basics of artificial intelligence use in an organisation

Generative AI- Workplace: Legal, Ethical, Responsible AI Use

What you'll learn

Explore related topics

Course content

Introduction2 lectures • 5min

Types of workplace AI4 lectures • 9min

Regulations surrounding AI3 lectures • 6min

AI policies in the workplace (new 2026)2 lectures • 9min

AI challenges and usage examples (new 2026)4 lectures • 12min

Governance, accountability, transparency and trust (new 2026)2 lectures • 6min

Risk Assessments (new 2026)5 lectures • 16min

Ethical principles and practical applications of AI4 lectures • 14min

Requirements

Description

Who this course is for: