Ethics of AI in Procurement: Ensuring Fairness, Transparency, and Trust
Course Overview
As Artificial Intelligence (AI) becomes central to supplier selection, contract evaluation, and spend analytics, **procurement professionals face new ethical responsibilities**.
This course explores the intersection of **AI technology, ethical governance, and responsible procurement practices** — ensuring that automated systems support fairness, accountability, and trust across the supply chain.
Participants will examine **ethical frameworks, data governance models, algorithmic bias issues, and regulatory compliance** related to AI-driven procurement.
Through practical exercises, global case studies, and interactive discussions, attendees will learn how to design and oversee **ethical, transparent, and inclusive AI-enabled procurement systems**.
Why This Course is Important
Prevents Bias and Discrimination:Ensures supplier selection and evaluation remain impartial.
Builds Trust: Strengthens transparency and confidence in digital procurement.
Supports Compliance: Aligns AI applications with global data protection and ESG standards.
Promotes Accountability: Defines human oversight and decision-making boundaries.
Enables Responsible Innovation: Encourages fair, explainable, and auditable AI models.
Target Audience
* Procurement and Supply Chain Leaders
* AI and Data Analytics Professionals in Procurement
* Compliance and Ethics Officers
* Legal, Risk, and Governance Executives
* Digital Transformation and E-Procurement Specialists
* Vendor and Supplier Relationship Managers
Course Duration
5 Days
Format: *In-person / Virtual (Instructor-led)*
Course Objectives
By the end of this course, participants will be able to:
* Understand the ethical dimensions of AI adoption in procurement.
* Identify sources of bias and develop mitigation strategies.
* Implement governance frameworks for responsible AI use.
* Ensure compliance with data privacy and transparency standards.
* Foster organizational trust through ethical decision-making.
* Design AI oversight mechanisms that ensure fairness and accountability.
Learning Outcomes
Upon successful completion, participants will be able to:
* Evaluate AI procurement tools for ethical risks and transparency gaps.
* Apply global standards such as OECD AI Principles, EU AI Act, and ISO 37001 frameworks.
* Develop internal policies for responsible AI usage.
* Monitor and audit AI-driven decisions in supplier selection and performance scoring.
* Promote diversity, inclusion, and sustainability through ethical data practices.
* Communicate AI ethics principles across internal and external stakeholders.
Course Modules
Module 1 – The Ethics Landscape of AI in Procurement
* Understanding AI and automation in modern procurement
* Defining ethics: fairness, accountability, transparency, explainability
* Global developments and regulatory frameworks
* Case Study: When AI sourcing went wrong
Module 2 – Algorithmic Bias and Fair Decision-Making
* Types of bias in AI: data, design, and outcome bias
* How AI models can unfairly impact supplier evaluation
* Techniques for bias detection, testing, and correction
* Workshop: Identifying and mitigating bias in supplier scoring algorithms
Module 3 – Governance and Compliance Frameworks
* Building an AI ethics policy for procurement functions
* Roles and responsibilities: human oversight and accountability
* Legal considerations: GDPR, EU AI Act, ISO and IIA governance links
* Designing audit trails and explainable AI processes
Module 4 – Data Integrity, Transparency, and Trust
* Responsible data sourcing and management
* Ensuring transparency in AI-enabled decisions
* Communicating AI outcomes to stakeholders and suppliers
* Case Study: Transparent procurement systems in public sector AI adoption
Module 5 – Building Ethical AI Procurement Systems
* Designing AI systems aligned with ESG and sustainability goals
* Integrating ethical KPIs and risk metrics into procurement dashboards
* Developing an AI Ethics Review Board or governance committee
* Group Project: Drafting a Responsible AI Procurement Framework
Training Methodology
* Instructor-led lectures and discussions
* Case studies from public and private sector AI implementations
* Interactive workshops on bias testing and ethical impact assessment
* Practical policy drafting and role-play scenarios
* Digital toolkit and post-training reference materials
Certification
Participants who successfully complete the program will receive:
🎓 **Professional Certificate in Ethics of AI in Procurement: Ensuring Fairness, Transparency, and Trust**
Contact Info:
Enquiry at : admin@keleaders.com
Whatsapp: 0044 790 125 9494
For more details visit our website : www.keleaders.com
