Executive Master in Strategic Finance and Business Leadership

AI Ethics and Policy

Course ID: 2501060101015ESH

Course Dates :      06/01/25       Course Duration :   5   Studying Day/s   Course Location:  London,   UK

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 Certified By:

 ESHub CPD & LondonUni - Executive Management Training

* Professional Training and CPD Programs
Leading to:
Executive Diploma Certificate
Leading to:
Executive Mini Masters Certificate
Leading to
Executive Masters Certificate

Certification Will Be Issued From :  From London, United Kingdom


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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Outlines Read More

Executive Master in Strategic Finance and Business Leadership

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

The course agenda will be as follows:
• Technical Session 08.30-10.00 am
• Coffee Break 10.00-10.15 am
• Technical Session 10.15-12.15 noon
• Coffee Break 12.15-12.45 pm
• Technical Session 12.45-02.30 pm
• Course Ends 02.30 pm

Course Outlines

Week 1
Day 1: Foundations of AI Ethics

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.