Course Details

The BCS Foundation Award in Understanding the Role of Ethics in the Responsible Use of AI is designed for anyone wishing to gain an understanding of how an ethical culture can support and ensure responsible use of AI.

AI is increasing in its use. Now a presence within our workplaces and our homes, there is a greater need now more than ever to understand the moral implications associated with AI and how it is impacting on society. This award considers the responsibility of organisations and society towards ensuring AI is implemented for the good of others. It considers the potential harm AI may pose, and the safeguards that can be implemented to ensure it is used safely, ethically and for the good of society. Candidates will be encouraged to explore the benefits associated with AI and the potential value it can add towards the continued evolution of humankind if managed well.

The BCS Foundation Award in Understanding the Role of Ethics in the Responsible Use of AI has been created for IT professionals of all levels, particularly those considering AI as a solution. It aims to provide them with a basic understanding of the ethical challenges posed upon society, whilst also recognising the business benefits.


This award sits within the Ethics area of the AI Foundation Pathway and demonstrates how the societal impact of AI will be controlled by human interaction.

You'll learn about:

  • The impact of, and level of responsibility for, AI in business
  • Scaling up the impact and responsibility of AI to society
  • Potential harm and safeguards
  • The role of humans in an AI world


This award contributes 4 credits towards the:

  • Foundation Certificate in AI (total credits required: 20)
  • Foundation Diploma in AI (total credits required: 36)

Other Ethics awards in the AI Foundation Pathway include:

Course curriculum

    1. Learning objectives

    2. What is AI?

    3. Deciding on Using AI in a Business

    4. Deciding on Using AI in a Business

    5. Introducing Risk - High Stakes and Low Stakes

    6. Risk and AI

    7. Risk and AI

    8. Summary of Risk and AI

    9. Scenario 1 of Risks with AI

    10. Scenario 2 of Risks with AI

    11. Scenario 3 of Risks with AI

    12. Scenario 4 of Risks with AI

    13. Mitigating Risks with AI

    14. How Process Can Mitigate Risks with AI

    15. How People Can Mitigate Risks with AI

    16. Mitigating Risk with AI

    17. Case Study: How This Business is Cornering their Sector Using AI

    18. 1.2 Explain the difficulty with establishing ownership of AI and where the responsibility lies. 

    19. 1.2 Scenario – The Difficulty with Establishing Ownership of AI and Where Responsibility Lies. 

    20. 1.2 Scenario – The Difficulty with Establishing Ownership of AI and Where Responsibility Lies. 

    21. 1.2 Scenario – The Difficulty with Establishing Ownership of AI and Where Responsibility Lies. 

    22. 1.2 Scenario – The Difficulty with Establishing Ownership of AI and Where Responsibility Lies. 

    23. 1.3 Explain the need for a business to define appropriate use of AI

    24. 1.3 Explain the need for a business to define appropriate use of AI

    25. 1.3 Explain the need for a business to define appropriate use of AI

    26. 1.3 Explain the need for a business to define appropriate use of AI

    27. 1.3 Explain the need for a business to define appropriate use of AI

    28. 1.4 Determine the need for protecting wider society

    29. 1.4 Determine the need for protecting wider society.

    30. 1.4 Determine the need for protecting wider society

    31. 1.4 Determine the need for protecting wider society

    32. 1.4 Determine the need for protecting wider society

    33. 1.4 Determine the need for protecting wider society

    34. 1.4 Determine the need for protecting wider society

    35. 1.5 Describe the typical roles in implementing and using AI

    36. 1.5 Describe the typical roles in implementing and using AI

    37. 1.5 Describe the typical roles in implementing and using AI

    38. Learning objectives - recap

    39. Knowledge check

    1. Learning objectives

    2. 2.1 Explain the importance of respecting the concerns of AI in society

    3. 2.1 Explain the importance of respecting the concerns of AI in society

    4. 2.1 Explain the importance of respecting the concerns of AI in society

    5. 2.1 Explain the importance of respecting the concerns of AI in society

    6. 2.1 Explain the importance of respecting the concerns of AI in society

    7. 2.1 Explain the importance of respecting the concerns of AI in society

    8. 2.2 Describe the importance of sustainability and how this relates to AI

    9. 2.2 Describe the importance of sustainability and how this relates to AI

    10. 2.2 Describe the importance of sustainability and how this relates to AI: ISO standards

    11. 2.2 Describe the importance of sustainability and how this relates to AI

    12. 2.2 Describe the importance of sustainability and how this relates to AI: UN 2030 Goals

    13. 2.2 Describe the importance of sustainability and how this relates to AI - Gender Equality

    14. 2.2 Describe the importance of sustainability and how this relates to AI - Quality Education

    15. 2.3 Identify the applicable standards and legislation that affect the use and build of AI: GDPR and ISAs

    16. 2.3 Identify the applicable standards and legislation that affect the use and build of AI: ICO

    17. 2.3 Identify the applicable standards and legislation that affect the use and build of AI: Data Processor and Controller

    18. 2.3 Identify the applicable standards and legislation that affect the use and build of AI: Data Protection Principles

    19. 2.3 Identify the applicable standards and legislation that affect the use and build of AI: Rights

    20. 2.3 Identify the applicable standards and legislation that affect the use and build of AI: Data Processing

    21. 2.3 Identify the applicable standards and legislation that affect the use and build of AI

    22. Learning objectives - recap

    23. Knowledge check

    1. Learning objectives

    2. 3.1 Identify the areas of concern with AI development: Bias

    3. 3.1 Identify the areas of concern with AI development: Poor Quality and Algorithms

    4. 3.1 Identify the areas of concern with AI development: Accountability

    5. 3.1 Identify the areas of concern with AI development: Privacy

    6. 3.1 Identify the areas of concern with AI development: Rogue AI

    7. 3.1 Identify the areas of concern with AI development: Auditability / Transparency

    8. 3.1 Identify the areas of concern with AI development: Ambiguity

    9. 3.1 Identify the areas of concern with AI development: Lack of talent

    10. 3.1 Identify the areas of concern with AI development: Lack of informed decision-makers

    11. 3.2 Explain how an ethics first culture can reduce concerns in these areas: SUM Values and FAST Track Principles

    12. 3.2 Explain how an ethics first culture can reduce concerns in these areas: Sum Values and FAST Track Principles

    13. 3.2 Explain how an ethics first culture can reduce concerns in these areas: SUM Values

    14. 3.2 Explain how an ethics first culture can reduce concerns in these areas: FAST Track Principles

    15. 3.2 Explain how an ethics first culture can reduce concerns in these areas: Putting Ethics into Practice

    16. 3.3 Describe key aspects of a visible ethical AI Culture

    17. 3.3 Describe key aspects of a visible ethical AI Culture: Top-Down, Bottom-Up Approach:

    18. 3.4 Explain the role corporate governance has in supporting responsible AI: Responsible AI with 6 principles:

    19. 3.4 Explain the role corporate governance has in supporting responsible AI

    20. Learning objectives - recap

    21. Knowledge check

    1. Learning objectives

    2. 4.1 Describe the level of responsibility of humans as we move towards a more automated world

    3. 4.2 Recognise how AI allows the human to elevate their position

    4. 4.3 Identify the strengths of the human in an AI world

    5. Learning objectives - recap

    6. Knowledge check

About this course

  • £275.00
  • 95 lessons

Questions

  • Who is it For?

    All IT professionals who are required to operate ethically in society and in business - from service desk operative to CIO! Business and digital leaders considering AI as a solution for their organisation. Digital practitioners looking to upskill and develop their professional credentials. Employees who want to understand more about the ethical impact of their work and decisions. Consumers who would like to be more informed in an increasingly technology-driven society

  • What Will I Learn?

    Discover how an ethical culture leads to the sustainable and responsible use of AI, by considering the potential harm that can come from AI, the safeguards that can be implemented, and where the responsibility lies within our organisations and society.

  • Exam

    A 30 min. ‘closed book’ exam, with 16 multiple-choice questions & 2 scenario-based questions (worth 2 marks each). The pass mark is 65% (13/20) and you can take the exam from home (computer with webcam required). You will have 12 months access to the course to help you prepare.

  • Entry Requirements

    There are no specific entry requirements for this award. However, some professional experience in a business or IT environment may be advantageous.

  • What do I Get?

    As well as gaining new skills and knowledge, upon successful completion, you will receive a globally recognised certificate (and 4 credits) awarded by BCS at SFIA Plus Level 3, and free annual Associate membership to BCS to further develop your career and grow your professional network.

  • How Long Does it Take to Complete?

    The BCS recommend 40 hours of learning to prepare for the exam, including 16hrs using this course and a further 24hrs of independent study.

  • What Support Is Available?

    A qualified tutor is on hand to answer any questions you have about the course and the content, via email or student discussion forum.

  • What Career Support Is Available?

    When you pass your course, you will receive a one-year free membership to the BCS (worth £90) which offers professional networking and career development opportunities through their careers service: ’Springboard'.

Instructor

Company Director and BCS Accredited Trainer Darren Winter

Darren Winter is the Founder and Company Director of Duco Digital the leading online UK BCS (Chartered Institute for IT) accredited provider of Artificial Intelligence & Machine Learning, Business Analysis and Data Protection courses for individuals and businesses. He is a BCS accredited trainer and a regular guest speaker about technology, and champion of small business.

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Price includes 12 months access, tutor support and exam costs.

What If I Change My Mind?

If you change your mind about your course purchase, you can apply for a refund within 14 days of purchase, provided that you haven't accessed your course material. Please note that you are no longer eligible if you have accessed your course material or communicated with any course tutor.