Responsible AI - Risk, Ethics and Compliance

Explore Responsible AI: Understand risk, ethics, and compliance to ensure transparent, fair, and accountable AI solutions for your organization.
Duration: 1 Day
Hours: 1 Hour
Training Level: All Levels
Batch One
Thursday, April 09, 2026
01:00 PM - 02:00 PM (Eastern Time)
Batch Two
Monday, May 18, 2026
01:00 PM - 02:00 PM (Eastern Time)
Batch Three
Monday, June 08, 2026
01:00 PM - 02:00 PM (Eastern Time)
Live Session
Single Attendee
$149.00 $249.00
Live Session
Recorded
Single Attendee
$199.00 $332.00
6 month Access for Recorded
Live+Recorded
Single Attendee
$249.00 $416.00
6 month Access for Recorded

About the Course:

Responsible AI – Risk, Ethics, and Compliance is a foundational course that helps organisations and professionals use artificial intelligence responsibly and safely, in line with ethical and regulatory standards. As AI becomes part of everyday business and decision-making, knowing its risks and responsibilities is essential.

This course gives a practical overview of AI risks, ethics, and compliance. Participants will learn how to assess AI systems, reduce possible harms, and create governance frameworks that support trust, transparency, and accountability while still encouraging innovation.

Course Objectives:

By the end of this course, you will be able to:

  • Understand the main ideas behind Responsible AI.
  • Spot ethical risks and possible unintended effects of AI systems.
  • Recognise common AI risk categories, including bias, privacy, and misuse.
  • Learn about compliance requirements and what regulators expect.
  • Use governance and control tools when implementing AI.
  • Support responsible AI decision-making within their organisation. 

Who is the Target Audience?

This course is designed for:

  • Business leaders and decision makers
  • Legal, risk, compliance, and governance professionals
  • Product managers and AI/technology leaders
  • HR, operations, and policy teams using AI tools
  • Consultants and advisors supporting AI adoption 

Basic Knowledge:

  • No technical or coding background is required.

Curriculum
Total Duration: 1 Hour
Introduction to Responsible AI

  • Why Responsible AI matters
  • The risks of ungoverned AI adoption
  • Responsible AI vs traditional technology governance

Ethical Foundations of AI

  • Fairness, accountability, transparency, and explainability
  • Bias, discrimination, and social impact
  • Human oversight and responsibility

AI Risk Categories & Threats

  • Data privacy and security risks
  • Model errors, hallucinations, and reliability issues
  • Misuse, abuse, and unintended consequences

Regulatory & Compliance Landscape

  • Overview of global AI regulations and standards
  • Data protection and AI governance expectations
  • Organisational responsibilities and documentation

AI Governance & Control Frameworks

  • Policies, guardrails, and approval mechanisms
  • Human-in-the-loop and escalation models
  • Monitoring, auditing, and accountability structures

Responsible AI in Practice

  • Evaluating AI tools and vendors
  • Risk assessments and impact analysis
  • Embedding ethics into AI workflows

Building a Responsible AI Roadmap

  • Defining principles and internal guidelines
  • Training teams and building awareness
  • Preparing for future regulatory changes