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• Welcome and program overview.
• Understanding Industry 4.0: Defining the key characteristics of Industry 4.0, including automation, digitalization, the Internet of Things (IoT), and the rise of big data.
• The Impact on Work & Jobs: Discussing how Industry 4.0 will transform various industries and professions, considering potential job displacement and the emergence of new job roles.
• The Future of Work Landscape: Exploring the evolving workplace landscape in the context of Industry 4.0, including trends like remote work, the gig economy, and the growing importance of continuous learning.
• Guest Speaker: An industry expert on the future of work or a leader from a company at the forefront of Industry 4.0 adoption can be invited to share their insights and answer participant questions.
• Demystifying AI: Providing a foundational understanding of Artificial Intelligence (AI) and its core functionalities, including machine learning, natural language processing, and data analytics.
• The Potential of AI in HRM: Exploring the various applications of AI across different HRM functions, such as:
o Talent acquisition: AI-powered resume screening, candidate matching algorithms, and chatbots for initial candidate interactions.
o Performance management: Performance prediction models, automated feedback generation, and skills gap analysis through AI-powered data analysis.
o Learning and development: Personalized learning recommendations, AI-powered coaching tools, and intelligent tutoring systems.
o Employee relations: Sentiment analysis of employee surveys, chatbots for HR inquiries, and AI-assisted conflict resolution.
• Hands-on Workshop: Exploring AI-powered HRM Tools (Optional): Participants will engage in a hands-on workshop where they explore different AI-powered HRM tools and platforms, evaluating their potential applications within their organization.
• The Future of Work & The Skills Gap: Utilizing future studies methodologies to anticipate the impact of AI and Industry 4.0 on the skills required for future jobs, and how HRM can address the potential widening of the skills gap.
• The Evolving Role of HR Professionals: Discussing how the role of HR professionals will transform in the age of AI, with a greater emphasis on data analysis, strategic thinking, and human-cantered design of HR processes.
• The Ethical Considerations of AI in HRM: Exploring the ethical implications of using AI in HRM practices, such as bias in algorithms, data privacy concerns, and the potential for job displacement.
• Developing an AI Ethics Framework for HRM: Equipping participants with strategies for developing and implementing an AI ethics framework to ensure responsible and ethical use of AI tools throughout the HR function.
• Building a Business Case for AI in HRM: Guiding participants on developing a compelling business case for implementing AI solutions in HRM, considering factors like return on investment (ROI), cost-effectiveness, and potential improvements in HR processes.
• Change Management for AI Implementation: Discussing strategies for managing change within the organization to ensure successful adoption of AI-powered HRM tools and minimize resistance from employees.
• Data Management & AI in HRM: Emphasizing the importance of data quality and responsible data management practices for effective AI implementation in HRM.
• The Future of Work & The Human Touch: Discussing the importance of maintaining the human element of HR practices even with the integration of AI, emphasizing the irreplaceable value of human judgment, empathy, and relationship building in people management.
• Developing an AI-powered HRM Action Plan: Participants create a personalized action plan outlining strategies for integrating AI tools into their HRM practices. This may include:
o Identifying specific HRM functions or processes where AI could provide the most significant benefit.
o Evaluating and selecting appropriate AI-powered HRM tools based on organizational needs and budget constraints.
o Developing a data management strategy to ensure data quality and compliance with data privacy regulations.
o Building employee trust and addressing concerns related to AI implementation in HRM.
o Establishing a process for ongoing monitoring and evaluation of AI-powered HRM tools.
• Course Wrap-Up & Ongoing Resources: Reviewing key takeaways from the program, addressing any remaining questions, and discussing ongoing resources for staying informed about advancements in AI technologies, best practices for ethical AI implementation in HRM, and navigating the evolving workplace landscape in the era of Industry 4.0.
• Networking & Collaboration: Participants connect with other HR professionals, share their AI-powered HRM action plans, and explore collaboration opportunities to exchange best practices and build a network for knowledge sharing as they navigate the integration of AI into the future of HRM.