EAIHR
Ethics of AI in Human Resources
A rigorous three-day program equipping HR professionals to govern AI ethically across the full employee lifecycle. Participants develop practical capability to identify bias, ensure transparency, and lead responsible AI adoption.
- Duration
- 3 days
- Next session
- 2 Aug 2026 – 5 Aug 2026 · +1 more
- Level
- advanced
- Format
- Classroom
- Available in
- Tirana, Albania
- Language
- EN
- Investment
- From USD 3,790 VAT not included
Program overview
The rapid integration of AI into HR functions creates powerful opportunities but also introduces complex ethical, legal, and governance challenges that organizations cannot afford to ignore. This program offers an interactive, applied learning experience focused on understanding AI-related risks, designing responsible governance frameworks, and evaluating HR technologies through an ethical lens. Delivered by a seasoned human capital strategist, it prepares participants to champion people-centric AI practices that uphold fairness, compliance, and organizational trust.
Learning outcomes
- Understanding ethical, legal, and governance requirements for HR AI systems
- Identifying and mitigating algorithmic bias and fairness concerns
- Evaluating HR technology vendors through a responsible governance lens
- Designing policy and oversight models for trustworthy AI adoption
- Strengthening leadership capability in ethical AI decision-making
Curriculum
- Ethical foundations of human-centered AI in HR transformation
- Data integrity, consent, and digital trust in workforce contexts
- Bias detection, fairness criteria, and governance for HR algorithms
- Ethical risk management in recruitment and performance analytics
- Policy design, vendor assessment, and sustainable AI governance
Who should attend
- HR directors, managers, and business partners
- CHROs and HR strategy leaders
- AI governance officers and ethics committees
- Talent acquisition and workforce analytics teams
- Organizational development and culture leaders
- Policy designers and HR transformation leads
What's included
- 3-day classroom training in Dubai, UAE
- Expert facilitation by a certified master trainer and HR strategist
- Case analysis and scenario simulations
- Structured decision frameworks and practical exercises
- Certificate of completion
- Course materials and documentation
Upcoming sessions
- 2 Aug 2026 – 5 Aug 2026 Tirana, Albania From USD 4,190 Open
- 3 Aug 2026 – 5 Aug 2026 Tirana, Albania USD 4,590 Open
Common questions
What HR or AI background do participants need before joining EAIHR? +
EAIHR is positioned at an advanced level, so participants are expected to have meaningful experience in HR management, talent strategy, or a related governance or compliance function. Prior hands-on use of AI tools is not required, but familiarity with HR processes across the employee lifecycle will help you engage fully with the case work and scenario simulations.
Does EAIHR lead to a formal certification or accreditation? +
Participants who complete the program receive an iLead certificate of completion. EAIHR is not currently affiliated with an external accreditation body, so it does not confer credits toward qualifications such as SHRM, CIPD, or similar professional designations.
Is EAIHR relevant for professionals in compliance or audit roles, not just HR? +
Yes. The program is designed for a cross-functional audience that includes AI governance officers, ethics committee members, and risk and compliance professionals, in addition to core HR practitioners. The governance and vendor assessment content is particularly applicable to those overseeing policy and organizational accountability for AI systems.
How does EAIHR address specific regulations such as the EU AI Act or regional data protection laws? +
The curriculum covers alignment with global standards and legal requirements relevant to AI in workforce contexts, including how organizations can build governance structures that remain adaptable as regulation evolves. Specific legislative frameworks are addressed in terms of their practical implications for HR policy rather than as a legal compliance course.
What is the best way to prepare before attending EAIHR? +
Reviewing your organization's current AI-related HR tools and any existing data governance or people analytics policies will make the program's applied exercises more immediately relevant to your context. Familiarity with current debates around algorithmic fairness in hiring and performance management is also useful, though not a formal prerequisite.
Which roles are best positioned to apply EAIHR learning on the job? +
The program is most directly applicable to HR directors, CHROs, talent acquisition leads, and workforce analytics professionals who have responsibility for selecting, implementing, or overseeing AI-enabled HR systems. Organizational development leaders and policy designers involved in HR transformation initiatives will also find the governance and documentation outcomes directly actionable.
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