Equipping Professionals for Responsible AI Procurement
In today’s fast-paced world, technology is evolving rapidly, especially with the emergence of AI-driven services and platforms. Organizations looking to automate tasks, manage supplier relationships, detect fraud, analyze spending, and optimize sourcing while managing risk and compliance departments are seeking AI offerings to help facilitate and streamline these operations.
This course aims to help end-users minimize risks in their purchasing decisions by understanding the key factors that contribute to responsible AI procurement such as transparency, accountability, fairness, and compliance with evolving standards and regulations. Participants will learn how to assess whether a solution is fit for purpose, safe, explainable, and built with quality inputs, in accordance with the IEEE 3119™ standard for the Procurement of Artificial Intelligence and Automated Decision Systems.
A PDF copy of the IEEE 3119 standard is included with your course purchase. This standard is essential to the training and provides the foundational framework for responsible AI procurement.
What Makes This Course Different?
This course demystifies the procurement process for Artificial Intelligence and Automated Decision Systems (ADS), making it accessible and adoptable. It provides a structured approach to managing AIS risks, promoting transparency and preparedness. This training is grounded in the IEEE 3119 standard and equips participants with actionable tools such as risk registers, vendor evaluation rubrics, and contract monitoring templates to support real-world procurement decisions involving AI and ADS.
Course Highlights
- In-depth Education: Learn about the six key processes.
- Interactive Learning: Engage with activities, tasks, tools, templates, and rubrics.
- Global Standards Alignment: Understand how the standard aligns with EU AI Act, National Institute of Standards and Technology (NIST) AI Risk Management Framework (RMF), Japan AI Guidelines, ISO 42001, and IEEE’s Ethically Aligned Design principles.
- Risk-based Approach: The training emphasizes a risk-based approach to procurement, helping participants identify, assess, and mitigate potential harms associated with AI and automated decision systems.
Course Benefits
- Grow your knowledge and understanding in ethical Automated Intelligent Systems (AIS) procurement.
- Modernizing operational best practices of procurement processes to gain efficiency and streamline functions.
- Risk management and compliance by identifying and mitigating risks early in the procurement lifecycle.
- Supports compliance with emerging AI regulations including the EU AI Act and Colorado’s 2024 AI Act – the first U.S. law to define and regulate high-risk AI systems.
What Participants Are Saying
Hear from professionals who’ve taken the course and applied its insights to their procurement practices.
Who Should Register?
This course is open to organizations wishing to train internal resources to enhance procurement practices by leveraging AIS. The IEEE Responsible Procurement of AI training is a self-paced, 4-5 hour online course available for institutional licensing and individual enrollment.
Participants who complete the course along with the final assessment receive a certificate of completion and a blockchain-verifiable digital badge, aligned with IEEE’s standards for digital credentialing.
- Procurement Teams looking to automate tasks, manage supplier relationships, and optimize sourcing.
- Chief Procurement Officers (CPOs) focused on strategic decision-making, risk management, and compliance.
- University Procurement Leaders keen on addressing challenges in centralized procurement, understanding procuring patterns.
- Finance Departments conducting spend analysis, increasing cost optimization, and improving fraud detection.
- Supply Chain Managers need to predict demand, manage inventory, and mitigate risks.
- Legal Teams responsible for contract management, compliance, and risk identification.
Course Outline
- Problem Definition
- Solicitation Preparation
- Vendor Evaluation
- Solution Evaluation
- Contract Negotiation
- Contract Monitoring
Part of the IEEE CertifAIEd™ Suite of Products
THE MARK OF AI ETHICS
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