Ethics & Responsible AI for Employees

Understand the ethical use of GenAI in daily workflows and decision-making.

Pillar

People – Mindset, Leadership & Change

Overview

This course equips employees with practical knowledge of ethical principles and responsible practices when using Generative AI in day-to-day tasks. It demystifies key risks such as bias, misinformation, and data misuse, while offering actionable strategies to ensure transparency, fairness, and accountability.

Learning Objectives

Participants will be able to:

• Recognize the ethical implications of using GenAI tools

• Identify and avoid common AI misuse scenarios

• Understand key topics like data privacy, bias, and hallucination

• Apply organization-approved AI usage guidelines

• Make informed, ethical decisions when interacting with AI systems

Target Audience

• All employees using or impacted by AI in their roles

• HR, marketing, customer service, and content teams

• Team leads and AI pilot participants

• Anyone contributing to GenAI inputs or using GenAI outputs

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Scenario-based workshops

• Ethical dilemma group discussions

• Case studies and role-play exercises

Materials Provided

• Responsible AI Quick Guide for Employees

• Case study workbook

• Interactive decision-making checklist

• Certificate of completion

Outcomes

• Develop a responsible AI mindset for daily work

• Reduce the risk of unethical or unintended AI use

• Promote transparency, fairness, and safety in AI-driven tasks

• Align personal and team behavior with ethical GenAI guidelines

Outline / Content

Day 1: Foundations of Ethical AI Use

• What is Responsible AI? Key principles and definitions

• Overview of ethical risks: bias, misinformation, hallucinations

• Personal responsibility in AI-augmented workflows

Day 2: Understanding Risks in Context

• Data privacy and confidentiality when using GenAI

• Bias and fairness: Recognizing and avoiding discriminatory outcomes

• Transparency and accountability in AI-assisted decisions

Day 3: Scenarios & Decision-Making in Practice

• Interactive ethical dilemma simulations

• GenAI in customer interactions, content creation, and research

• Red flag behaviors and how to respond

Day 4: Embedding Ethics in Team Culture

• Working with AI within company policies and values

• Peer accountability and team norms for AI use

• Creating a feedback loop for ethical concerns and improvement