Course Code: DIGTR 3560
4 Course Visits
Artificial Intelligence Ethics in the Age of Generative AI
Course Sector:
Digital Transformation and Innovation
Course Dates and Locations
Choose a date and location to book your seat
No.
Date
Days
Location
Fees
Enrollment
01
14 - 18 Jul 2025
5 Days
Abu Dhabi, UAE
$4,250
02
15 - 19 Sep 2025
5 Days
Dubai, UAE
$4,250
03
23 - 27 Nov 2025
5 Days
Riyadh, KSA
$4,250
Introduction
Training course introducion / brief

As generative AI tools continue to reshape economies, government functions, and public services, the ethical challenges associated with their development and use are growing in scale and complexity. This course provides a deep dive into the evolving landscape of AI ethics, with a specific focus on the unique risks and governance considerations of generative AI technologies such as ChatGPT, DALL·E, and others.

Participants will explore international frameworks, case studies, and policy responses that address ethical dilemmas across domains such as transparency, bias, misinformation, data privacy, and regulatory accountability. Through a blend of lectures, interactive discussions, and applied scenarios, the program equips leaders and professionals with the tools to responsibly leverage AI technologies while upholding public trust, fairness, and human-centric values.

Course Objectives
At the end of the training course, participants will be able to
  • Understand the key ethical principles and risks associated with generative AI technologies.
  • Analyse the impact of generative AI on society, governance, and policymaking.
  • Examine real-world examples and case studies of ethical challenges in AI deployment.
  • Evaluate global regulatory trends and governance models for AI ethics.
  • Develop strategies to promote ethical design, deployment, and use of AI systems in both public and private sectors.
Course Audience
Who is this course for, and can benefit the most
  • Government policymakers and public sector leaders
  • Data scientists, AI developers, and technology officers
  • Legal and compliance professionals
  • Corporate executives responsible for digital transformation and innovation
  • Academics, researchers, and students in technology ethics, governance, or public policy
  • NGO and civil society leaders focused on AI, digital rights, and responsible innovation
Course Outline
The course aims and learning outcomes

Foundations of AI and Ethical Principles

  • Introduction to Artificial Intelligence and Generative AI
  • The rise of large language models and diffusion models
  • Core ethical principles: fairness, accountability, transparency, and explainability (FATE)
  • Understanding algorithmic bias and unintended consequences

Generative AI Risks and Societal Impact

  • Deepfakes, misinformation, and content authenticity
  • Privacy, surveillance, and consent in AI systems
  • Human vs. machine agency: autonomy, control, and responsibility
  • AI in public services: opportunities and red flags

AI Governance and Global Frameworks

  • Regulatory trends: EU AI Act, UNESCO AI Ethics Recommendations, OECD Guidelines
  • Comparative approaches to AI ethics (USA, UAE, China, etc.)
  • Role of ethics boards, audits, and impact assessments
  • Public sector accountability and inclusive governance

Managing Ethical Risks in Practice

  • Case studies of ethical lapses and successful mitigation
  • Risk mitigation strategies: technical, procedural, and legal
  • Designing ethical guidelines and codes of conduct for AI use
  • Organizational readiness: culture, training, and leadership roles

The Future of Ethical AI in Policy and Innovation

  • Responsible innovation and the future of work
  • AI literacy and digital trust in public discourse
  • Ethical considerations in AI procurement and public-private partnerships
Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.
ENDORSED EDUCATION PROVIDER
Over all rating
Excellent
Average
Below average
Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY

Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).

At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.

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