BCS Foundation Certificate in the Ethical Build of AI

This accelerated BCSFEBAI - BCS Foundation Certificate in the Ethical Build of AI certification supports digital professionals to develop AI technologies responsibly, navigating ethical concerns from security to human rights.

On this course you will gain industry insights and apply knowledge through real-life case studies and interviews followed by AI-marked activities. Learn tools for making ethical decisions when working with AI. Understand the risks that come with developing AI solutions and the strategies for overcoming them.

Our AI certification contains five online modules which cover how to apply ethical principles when designing and building AI systems.

By the end of our AI course, you’ll understand the risks that come with developing AI solutions and the strategies for overcoming them.

In just 2 days, by completing these exclusive learning modules and assessment activities, you will learn to develop a practical understanding of, and skills relating to:‚ÄØ

• The need for ethical and regulatory standards in AI
• The use of different AI systems and their impact on the business and society
• The lawful and ethical collection and use of data The data, infrastructure and environmental considerations of AI systems
• The ethical considerations in developing, testing and running AI

At the end of this course, you’ll sit the BCS exam, and achieve your BCS Foundation Certificate in the Ethical Build of AI certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.

Audience

This course is ideal for:

• The learning programme is ideal for anyone involved with designing or developing software that uses AI.
• While the content is tailored to the financial services sector, it’s highly relevant to a wide range of sectors, from law to pharmaceuticals.

• Module 1: An Ethical Framework for Using AI (20%)
  • Explain what it means to be an ethical IT professional.
  • Identify threats to our ethical behaviour and safeguards to mitigate them.
  • Explain the guiding principles of ethical AI.
  • Explain the role of regulation in managing AI risk.
  • Explain the use of the DIODE framework in ensuring an ethical by design approach to AI.
• Module 2: Innovating Ethically with AI to Drive Business Change (20%)
  • Explain the benefits that AI can provide in driving organisational and societal change.
  • Describe subsets of AI and examples of their use.
  • Describe common ethical concerns about the development and use of AI.
  • Describe common stages within the AI lifecycle.
• Module 3: Data Privacy, Governance and Policy in AI (20%)
  • Describe key aspects of data governance.
  • Explain the challenges of working with different types of data.
  • Describe regulation and authorities that govern the legal and ethical collection, storage and use of data and information.
  • Explain the seven data protection principles of the Data Protection Act 2018.
  • Describe the use of the Data Ethics Framework in guiding responsible data use.
• Module 4: Data Architecture, Sustainability and Ethics (15%)
  • Describe the role of data architecture.
  • Describe the different stages of the data lifecycle and the associated ethical and legal considerations.
  • Describe approaches that support the identification and management of data architecture risk.
  • Describe sustainability measures to help reduce the environmental impact of AI and its data usage requirements.
• Module 5: Ethically Building and Testing AI Solutions (25%)
  • Describe organisational considerations in developing AI solutions.
  • Explain the principles of human-centred design.
  • Describe processes and key considerations in the training of AI.
  • Explain key areas of scrutiny in the ethical and reliable testing of AI.
  • Describe processes involved in the continued safe running of AI.

There are no prerequisites for this accelerated course.

At the end of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered Certification Guarantee:

BCS Foundation Certificate in the Ethical Build of AI exam

• Duration: 60 Minutes
• Format: 20 Knowledge Questions and 10 Scenario-Based Questions
• Number of questions: 20
• Passing score: (65%) 26/40
• Domains:
  • An ethical framework for using AI 20%
  • Innovating ethically with AI to drive business change 20%
  • Data privacy, governance and policy in AI 20%
  • Data architecture, sustainability and ethics 15%
  • Ethically building and testing AI solutions 25%