AI+ Ethics™

Navigate the Intersection of AI and Ethics in Business Landscape
  • Responsible AI Focus: Master ethical AI use aligned with business and societal values
  • Risk Mitigation: Learn to manage compliance, transparency, and AI decision-making
  • Strategic Guidance: Integrate ethical practices into AI adoption and leadership
  • Reputation Builder: Build organisational trust and credibility in AI deployments

 

Módulos

  • Course Overview:
    1. Course Introduction Preview
  • Module 1: Overview of AI Ethics & Societal Impact:
    1. 1.1 Introduction to Ethical Considerations in AI Preview
    2. 1.2 Understanding The Societal Impact of AI Technologies Preview
    3. 1.3 Strategies for Conducting Social and Ethical Impact Assessments
  • Module 2: Bias and Fairness in AI:
    1. 2.1 Exploration of Biases in Data and Algorithms Preview
    2. 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
  • Module 3: Transparency and Explainable AI:
    1. 3.1 Importance of Transparent AI Systems Preview
    2. 3.2 Techniques for Explaining AI Models to Diverse Stakeholders Preview
    3. 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations
  • Module 4: Privacy and Security Issues in AI:
    1. Study frameworks for holding organizations accountable for the ethical use of AI.
    2. Why it matters: Ensures ethical AI deployment and helps mitigate the consequences of potential misuse or harm.
  • Module 5: Accountability and Responsibility:
    1. 5.1 Concepts of Accountability in AI Development and Deployment
    2. 5.2 Responsibilities of AI Practitioners and Organizations
  • Module 6: Legal and Regulatory Issues:
    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
  • Module 7: Ethical Decision-Making Frameworks:
    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
  • Module 8: AI Governance & Best Practices:
    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
  • Module 9: Global AI Ethics Standards:
    1. 9.1 Explore Standards: IEEE’s Ethically Aligned Design
    2. 9.2 Comparative Case Studies on Standard Implementations
    3. 9.3 Tools for Evaluating AI Systems Against Global Standards
  • Optional Module: AI Agents for Ethics and Its Implications:
    1. 1. Understanding AI Agents
    2. 2. Case Studies
    3. 3. Hands-On Practice with AI Agents

Herramientas de IA

  • AI4People (Atomium - European Institute for Science, Media, and Democracy)
  • IBM - AI Fairness 360
  • IBM - AI Explainability 360
  • European Commission High-Level Expert Group on AI
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