Entry Requirements for Ethical & Responsible AI Implementation For Organisations
Duration: 1 Months
Delivery Method: Online
Fee Structure for Ethical & Responsible AI Implementation For Organisations
Course Fee Breakdown
Trimester/Module 1
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Other Mandatory Course Requirements for Ethical & Responsible AI Implementation For Organisations
Course Units/Overview for Ethical & Responsible AI Implementation For Organisations
Week 1: Foundations of Ethical and Responsible AI
- Introduction to Artificial Intelligence in organisational contexts
- Ethical principles in AI (fairness, transparency, accountability, privacy, human oversight)
- Responsible AI vs. unethical or unregulated AI use
- The role of HR, compliance, and risk professionals in AI governance
Week 2: AI Risks, Bias, and Impact on People
- Algorithmic bias and discrimination
- AI and workforce decision-making (recruitment, promotion, performance management)
- Data privacy, consent, and surveillance concerns
- Impact of AI on employee trust and organisational culture
Week 3: Governance, Regulation, and Compliance
- AI governance frameworks and accountability models
- Roles and responsibilities in AI oversight
- Overview of global and regional AI regulations and standards
- Aligning AI systems with organisational policies and codes of ethics
Week 4: Implementing Responsible AI in Practice
Designing ethical AI implementation strategies
- Human-in-the-loop and oversight mechanisms
- Monitoring, auditing, and continuous improvement of AI systems
- Communicating ethical AI practices to stakeholders
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Course Description for Ethical & Responsible AI Implementation For Organisations
This short course equips professionals responsible for people, policy, risk, and compliance with the knowledge and practical tools needed to implement Artificial Intelligence (AI) responsibly within organisations. As AI increasingly influences recruitment, performance management, decision-making, and compliance processes, organisations face growing ethical, legal, and governance risks.
The course explores ethical principles, regulatory expectations, organisational governance frameworks, and real-world case studies to support responsible AI adoption. Learners will develop the ability to identify AI-related risks, design ethical safeguards, align AI systems with organisational values, and contribute meaningfully to AI governance and policy development.
Course Instructor(s) for Ethical & Responsible AI Implementation For Organisations
TBA
Examining Body for Ethical & Responsible AI Implementation For Organisations
AWARDS TRAINING LIMITED
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