
AI Ethics and Policy Outlines
Course ID: 2501060101015ESH

Course Dates : 06/01/25 Course Duration : 5 Studying Day/s Course Location: London, UK
Language: Bilingual
Course Category: Professional and CPD Training Programs
Course Subcategories:
Compliance and Governance
Sustainability and Environmental Practices
Technology and Innovation
AI Ethics
Bias and Fairness in AI
Corporate Social Responsibility
Data Privacy
Policy Development
Regulatory Compliance
Technology Governance

Course Information
Introduction
As artificial intelligence (AI) continues to shape industries and societies, it is essential to address the ethical considerations and policy implications of its adoption.
This course provides a comprehensive understanding of the principles of AI ethics and the frameworks required to create and implement sound policies.
Participants will explore challenges such as bias, transparency, accountability, and data privacy while learning to design ethical AI systems that align with organizational goals and societal values.
This course ensures participants gain practical knowledge and actionable insights, empowering them to navigate the complexities of AI ethics and policy confidently.
Objectives
By the end of this course, participants will be able to:
Understand the foundational principles of AI ethics and their importance in the AI lifecycle.
Identify and address ethical challenges such as bias, fairness, and transparency.
Develop policies and guidelines to ensure ethical AI practices within organizations.
Analyze real-world case studies of AI ethics and policy applications.
Foster collaboration between stakeholders to implement effective AI governance.
Who Should Attend?
This course is ideal for:
Policy makers, regulators, and government officials.
Business leaders, managers, and decision-makers involved in AI projects.
Data scientists, AI engineers, and IT professionals.
Legal advisors and compliance officers.
Academics and researchers interested in AI ethics and policy.
Training Method
• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
• Post-assessment
Program Support
This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.
Daily Agenda
Daily Schedule (Monday to Friday)
- 09:00 AM – 10:30 AM Technical Session 1
- 10:30 AM – 12:00 PM Technical Session 2
- 12:00 PM – 01:00 PM Technical Session 3
- 01:00 PM – 02:00 PM Lunch Break (If Applicable)
- Participants are expected to engage in guided self-study, reading, or personal reflection on the day’s content. This contributes toward the CPD accreditation and deepens conceptual understanding.
- 02:00 PM – 04:00 PM Self-Study & Reflection
Please Note:
- All training sessions are conducted from Monday to Friday, following the standard working week observed in the United Kingdom and European Union. Saturday and Sunday are official weekends and are not counted as part of the course duration.
- Coffee and refreshments are available on a floating basis throughout the morning. Participants may help themselves at their convenience to ensure an uninterrupted learning experience Provided if applicable and subject to course delivery arrangements.
- Lunch Provided if applicable and subject to course delivery arrangements.

Course Outlines
Introduction to AI Ethics: Concepts and Importance.
Ethical Frameworks for AI: Deontology, Utilitarianism, and Virtue Ethics.
Key Challenges in AI Ethics: Bias, Fairness, and Transparency.
The Role of Human-Centered Design in Ethical AI.
Day 2: Legal and Regulatory Frameworks
Overview of Global AI Regulations and Standards.
Privacy and Data Protection in AI Systems.
Intellectual Property Rights and AI Innovations.
Developing Organizational AI Policies: Key Considerations.
Day 3: AI Governance and Accountability
Principles of Responsible AI Governance.
Establishing Accountability Mechanisms for AI Use.
Stakeholder Collaboration for Ethical AI Practices.
Monitoring and Auditing AI Systems for Compliance.
Day 4: Societal Impacts and Ethical Challenges
Addressing Bias and Inequality in AI Applications.
The Role of AI in Disinformation and Privacy Breaches.
Ethical Dilemmas in Autonomous Systems and AI Decision-Making.
Building Public Trust in AI Technologies.
Day 5: Policy Development and Practical Application
Creating Ethical AI Policies: A Step-by-Step Guide.
Real-World Case Studies in AI Ethics and Policy.
Best Practices for Policy Implementation and Continuous Improvement.
Future Trends in AI Ethics and Policy Development.
Course Fees: £5,120.30
Vat Not Included in the price.
VAT may vary depending on the country where the course or workshop is held.
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