Canadian Owned and Operated
Description
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
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration: Instructor-Led: 1 day (live or virtual) Self-Paced: 8 hours of content
Prerequisites: Basic knowledge of artificial intelligence, machine learning concepts, Python familiarity, fundamental AI/ML concepts
Exam Format:
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery Projects & case studies
Outcome Industry-recognized credential + hands-on experience
What You’ll Learn
- Course Introduction
- 1.1 Introduction to Ethical Considerations in AI
- 1.2 Understanding The Societal Impact of AI Technologies
- 1.3 Strategies for Conducting Social and Ethical Impact Assessments
- 2.1 Exploration of Biases in Data and Algorithms
- 2.2 Strategies for Mitigating Bias and Ensuring Fairness in AI Systems
- 3.1 Importance of Transparent AI Systems
- 3.2 Techniques for Explaining AI Models to Diverse Stakeholders
- 3.3 Guided Projects on Designing and Analysis of AI Systems with Ethical Considerations
- 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.
- 5.1 Concepts of Accountability in AI Development and Deployment
- 5.2 Responsibilities of AI Practitioners and Organizations
- 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
- 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
- 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
- 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
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
