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AI+ Ethicsā„¢ ā€“ Instructor-Led Programme Delivery

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Industry Growth: Strengthening AI Governance Across Organisations

  • AI ethics is projected to grow at a CAGR of 37.7% by 2026, as companies recognize the need for ethical AI practices (Source: MarketsandMarkets).
  • Global demand for AI ethics professionals is on the rise as organizations seek guidance on responsible AI deployment.
  • AI ethics is becoming a critical regulatory focus with governments introducing laws to ensure responsible AI use.
  • Companies are integrating AI ethics teams to ensure compliance with data privacy and ethical standards.
  • AI ethics roles are expanding across industries, including healthcare, finance, and technology.

Skills Youā€™ll Gain

  • AI Ethics Principles
  • Risk Mitigation Strategies
  • Ethical AI Application Design
  • Fairness in AI Systems
  • Decision-Making in AI Governance
  • Regulatory and Compliance Knowledge
  • Ethical Leadership in AI
  • Impact Assessment of Ethical Violations

What You'll Learn

  1. Course Introduction
  1. 1.1 Introduction to Ethical Considerations in AI
  2. 1.2 Understanding The Societal Impact of AI Technologies
  3. 1.3 Strategies for Conducting Social and Ethical Impact Assessments
  1. 2.1 Exploration of Biases in Data and Algorithms
  2. 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
  1. 3.1 Importance of Transparent AI Systems
  2. 3.2 Techniques for Explaining AI Models to Diverse Stakeholders
  3. 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations
  1. 4.1 Study frameworks for holding organizations accountable for the ethical use of AI.
  2. 4.2 Why it matters: Ensures ethical AI deployment and helps mitigate the consequences of potential misuse or harm.
  1. 5.1 Concepts of Accountability in AI Development and Deployment
  2. 5.2 Responsibilities of AI Practitioners and Organizations
  1. 6.1 Overview of Relevant Laws and Regulations Pertaining to AI
  2. 6.2 Understanding the Global Regulatory Issues for AI Technologies
  3. 6.3 Case Studies: GDPR Compliance
  4. 6.4 Legal Compliance of AI Tools
  1. 7.1 Introduction to Frameworks for Making Ethical Decisions in AI
  2. 7.2 Case Studies and Applications of Ethical Decision-Making
  3. 7.3 Use of Simulation Platforms in Ethical Decision-Making
  1. 8.1 Principles and Functions of International AI Governance
  2. 8.2 Best Practices for Integrating AI Ethics into Organizational Policies
  3. 8.3 Case Studies on AI Governance
  1. 9.1 Explore Standards: IEEEā€™s Ethically Aligned Design
  2. 9.2 Comparative Case Studies on Standard Implementations
  3. 9.3 Tools for Evaluating AI Systems Against Global Standards
  1. 1. Understanding AI Agents
  2. 2. Case Studies
  3. 3. Hands-On Practice with AI Agents