IEEE CertifAIEd AI Ethics

The IEEE CertifAIEd training on AI Ethics, which can lead to IEEE CertifAIEd professional certification, covers responsible AI, global ethics initiatives, ethics profiling, IEEE ethical criteria (Accountability, Transparency, Privacy, Algorithmic Bias), and the AI Ethics Framework and Methodology

• Increased knowledge of using the IEEE CertifAIEd framework to assess the ethicality of AI-based products and systems.
• Fosters the prioritization of human ethical values throughout the AI development life cycle.
• Understanding of legislation and regulations–like the EU AI Act–that impact AI systems and how to address them
• Recognition as an IEEE CertifAIEd Professional and potential career advancement opportunities
• Aligning with IEEE’s framework and methodology can help build consumer trust in a company’s products and brand.
• Understanding of how to scale responsible innovation implementations, improving quality of AIS and increasing trust of key stakeholders.

• IEEE CertifAIEd™ and AI Governance
• Overview of the IEEE CertifAIEd™ Framework
• Introduction to the IEEE CertifAIEd™ Criteria Suites
• Ethics Profiling
• IEEE CertifAIEd Criteria™ Suites in Detail
• Ethical Transparency Criteria Suite
• Ethical Accountability Criteria Suite
• Ethical Privacy Criteria Suite
• Ethical Algorithmic Bias Criteria Suite

• To realize the need for evaluation for AI ethics in an AI solution
• To familiarize with the IEEE CertifAIEd outcomes & risk-based approach
• To understand the evaluation and certification journey

• Individuals involved in risk mitigation for their organizations
• HR
• Insurance Underwriters
• Legal Departments
• Quality Managers
• Professionals exploring the use of AI tools in their business processes
• Organizations looking to train employees on AI Ethics
• AI system developers
• Legislators and policymakers
• Solutions Providers

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