AI+ Ethics™ eLearning

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  

Course Overview

* Course Introduction Preview Module 1: Overview of AI Ethics & Societal Impact

* 1.1 Introduction to Ethical Considerations in AI Preview
* 1.2 Understanding The Societal Impact of AI Technologies Preview
* 1.3 Strategies for Conducting Social and Ethical Impact Assessments Module 2: Bias and Fairness in AI

* 2.1 Exploration of Biases in Data and Algorithms Preview
* 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems Module 3: Transparency and Explainable AI

* 3.1 Importance of Transparent AI Systems Preview
* 3.2 Techniques for Explaining AI Models to Diverse Stakeholders Preview
* 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations Module 4: Privacy and Security Issues in AI

* Study frameworks for holding organizations accountable for the ethical use of AI.
* Why it matters: Ensures ethical AI deployment and helps mitigate the consequences of potential misuse or harm. Module 5: Accountability and Responsibility

* 5.1 Concepts of Accountability in AI Development and Deployment
* 5.2 Responsibilities of AI Practitioners and Organizations Module 6: Legal and Regulatory Issues

* 6.1 Overview of Relevant Laws and Regulations Pertaining to AI
* 6.2 Understanding the Global Regulatory Issues for AI Technologies
* 6.3 Case Studies: GDPR Compliance
* 6.4 Legal Compliance of AI Tools Module 7: Ethical Decision-Making Frameworks

* 7.1 Introduction to Frameworks for Making Ethical Decisions in AI
* 7.2 Case Studies and Applications of Ethical Decision-Making
* 7.3 Use of Simulation Platforms in Ethical Decision-Making Module 8: AI Governance & Best Practices

* 8.1 Principles and Functions of International AI Governance
* 8.2 Best Practices for Integrating AI Ethics into Organizational Policies
* 8.3 Case Studies on AI Governance Module 9: Global AI Ethics Standards

* 9.1 Explore Standards: IEEE’s Ethically Aligned Design
* 9.2 Comparative Case Studies on Standard Implementations
* 9.3 Tools for Evaluating AI Systems Against Global Standards Optional Module: AI Agents for Ethics and Its Implications

* 1. Understanding AI Agents
* 2. Case Studies
* 3. Hands-On Practice with AI Agents Tools you will explore

* 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

Exam: 50 questions, 70% passing, 90 minutes, online proctored exam

Instructor-led OR Self-paced course + Official exam + Digital badge