Ai Governance & Compliance For Hr Professionals
 

Master AI regulations, risk management, and compliance in HR systems.
What you'll learn
Master foundational concepts and principles of the subject to build a strong knowledge base.
Gain hands-on experience with industry-standard tools and technologies relevant to the field.
Learn to analyze data effectively and make data-driven decisions for real-world applications.
Enhance communication and collaboration skills for teamwork and professional environments.
Understand ethical considerations and best practices to ensure responsible decision-making.
Apply theoretical knowledge to real-world scenarios through projects and simulations.
Build a portfolio showcasing skills and accomplishments to boost career opportunities.
Requirements
No prior experience needed; beginners are welcome!
Basic computer literacy and internet navigation skills.
Access to a computer or laptop with reliable internet.
Willingness to learn and explore new concepts.
Tools/software will be introduced during the course.
Description
As artificial intelligence transforms the human resources industry, the need for effective governance and compliance has never been more critical. This comprehensive course, AI Governance & Compliance for HR Professionals, is designed to equip you with the tools, knowledge, and strategies to navigate the complexities of implementing AI in HR while adhering to global regulatory standards.The course begins with an introduction to AI governance and its role in HR, highlighting key objectives and the distinction between governance and management. You'll dive into global AI compliance frameworks, including ISO/IEC standards and GDPR, and learn to create tailored compliance checklists for HR projects.Explore the organizational structures required to manage AI in HR effectively, including governance team roles and cross-department integration. Delve into risk management strategies specific to HR AI applications, quality assurance protocols, and tools for testing and validation.From optimizing AI-enhanced recruitment processes to handling employee disputes and ensuring data privacy, this course covers the full employee lifecycle. Additionally, you'll learn how to perform compliance audits, navigate regulations like HIPAA in healthcare HR, and implement AI compliance tools.Cap off your learning with a hands-on project to design and implement an AI governance framework tailored to HR operations. Join now to become a leader in responsible AI implementation and compliance within HR!
Overview
Section 1: Introduction to AI Governance in HR
Lecture 1 Introduction
Lecture 2 The Role of Governance in AI Deployments
Lecture 3 Differentiating AI Governance and HR Management
Lecture 4 Objectives of AI Governance for HR Professionals
Section 2: AI Compliance Frameworks in HR
Lecture 5 Global AI Compliance Standards Relevant to HR
Lecture 6 Applying ISO/IEC Standards to AI Systems
Lecture 7 GDPR Compliance in AI Applications
Lecture 8 Creating an AI Compliance Checklist for HR Projects
Section 3: Organizational Structures for AI Governance in HR
Lecture 9 Structuring an AI Governance Team within HR
Lecture 10 Key Roles and Responsibilities in AI Governance
Lecture 11 Integrating AI Governance Across HR Departments
Section 4: Risk Management for HR AI Systems
Lecture 12 Identifying Risks Specific to HR AI Applications
Lecture 13 Risk Mitigation Strategies for AI Systems
Lecture 14 Continuous Risk Monitoring in HR AI Operations
Lecture 15 Risk Management Integration in AI Development
Section 5: AI Quality Assurance and Testing in HR
Lecture 16 Quality Standards for HR AI Systems
Lecture 17 Testing Protocols for AI
Lecture 18 Validation and Verification of AI Systems
Lecture 19 Tools for Ensuring Quality in HR AI Applications
Section 6: Strategic Employee Lifecycle Management
Lecture 20 Optimizing AI-Enhanced Recruitment Processes
Lecture 21 Handling Employee Legal Disputes
Lecture 22 6.3 Employee Database and Performance Management
Section 7: AI Compliance Auditing in HR
Lecture 23 Auditing Methods for HR AI Systems
Lecture 24 Automating Compliance Audits in HR
Lecture 25 Documentation and Reporting in HR AI Audits
Lecture 26 The Role of Third-party Audits in HR AI Compliance
Section 8: Regulatory Compliance for AI in HR
Lecture 27 Understanding AI Regulations Impacting HR
Lecture 28 Implementing AI Compliance Tools in HR
Lecture 29 Complaints of Non-compliance in HR AI Systems
Lecture 30 Staying Updated with Changes in AI Legislation
Section 9: AI in HR Reporting and Analytics
Lecture 31 AI's Role in HR Reporting
Lecture 32 Enhancing HR Analytics with AI
Lecture 33 Addressing Compliance in HR AI Reporting
Lecture 34 Examples of AI-driven HR Analytics
Section 10: Project: Implementing an AI Governance Framework in HR
Lecture 35 Designing and Implementing the HR AI Governance Framework
Lecture 36 Tools and Resources for HR AI Governance
Lecture 37 Measuring Success in HR AI Governance Implementations
Section 11: Transforming Employee Management with AI in HR
Lecture 38 HR Solutions for Different Sectors: Corporate, Healthcare, and Tech Fields
Lecture 39 Smart Automation for Employee Onboarding and Offboarding
Lecture 40 AI for Personalized Employee Development
Section 12: AI Compliance in Healthcare HR
Lecture 41 Specific Compliance Challenges for Healthcare
Lecture 42 Navigating HIPAA and Other Regulations in Healthcare HR
Lecture 43 Trends in Healthcare HR AI Compliance
Section 13: Best Practices in AI Governance for HR
Lecture 44 Effective Governance Practices for HR AI
Lecture 45 Learning from Industry Leaders in HR AI
Lecture 46 Scalability and Flexibility of HR AI Solutions
Section 14: Monitoring and Reporting in HR AI Governance
Lecture 47 Tools for Monitoring HR AI Systems
Lecture 48 Effective Reporting Techniques for HR AI
Lecture 49 Transparency Importance in HR AI Operations
Lecture 50 Compliance Reporting in AI
Section 15: Conclusion and Future Directions for HR AI Governance
Lecture 51 Recap of AI Governance and Compliance in HR
Lecture 52 Future Trends in HR AI Governance
Lecture 53 Communities and Updates
Lecture 54 Conclusion
Beginners looking to build a strong foundation in the subject with no prior experience required.,Students seeking to enhance their academic knowledge and practical skills for future careers.,Professionals aiming to upskill or transition into a new field with relevant, industry-focused training.,Hobbyists interested in exploring the subject for personal growth or creative projects.,Entrepreneurs wanting to leverage new skills to innovate or improve their business strategies.,Lifelong learners eager to stay updated with the latest trends and technologies in the field.
Screenshot