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Responsible AI
Gen AI’s Next Inflection Point: From Employee Experimentation to Organisational Transformation | McKinsey & Company (2025)
Organisations are at a critical juncture in their generative AI journey—moving from scattered experimentation to enterprise-wide transformation. McKinsey advises a strategic approach for scaling generative AI via governance, process redesign, technical integration, and capability building, unlocking significant productivity gains while effectively managing implementation risks.
Gen AI’s Next Inflection Point: From Employee Experimentation to Organisational Transformation | McKinsey & Company (2024)
This report outlines the critical shift businesses must make to capture the full value of generative AI (gen AI). Beyond employee-led experimentation, organisations are urged to integrate gen AI into core operations, transforming business models and fostering sustainable growth.
2024 Work Trend Index Annual Report | Microsoft and LinkedIn (2024)
Microsoft and LinkedIn's comprehensive report reveals the rapid adoption of AI in the workplace. Seventy-five percent of knowledge workers are now using AI, and leaders recognise its importance for staying competitive. The report highlights the rise of AI power users and the need for organisations to adapt to this new era of work.
Work, Workforce, Workers: Reinvented in the Age of Generative AI | Accenture (2024)
This comprehensive report explores how generative AI transforms work, reshapes the workforce, and impacts workers. It highlights the economic potential, challenges, and strategies for leaders to navigate this technological revolution responsibly. It also emphasises the importance of human-centred approaches and trust-building in realising Gen AI's full potential.
Avoiding Harm in Technology Innovation | MIT Sloan Management Review (2024)
This comprehensive article examines how organisations can responsibly develop and deploy emerging technologies like AI while mitigating potential harms. It provides a framework for ethical innovation and commercialisation.
The Future of Privacy Forum | Best Practices for AI and Workplace Assessment Technologies (2024)
This research explores best practices for integrating AI tools into workplace assessment, particularly in hiring and employment decisions. It provides essential guidance on non-discrimination, responsible AI governance, transparency, data security, and human oversight. Organisations implementing these recommendations can mitigate risks while leveraging AI for better hiring outcomes. Learn the actionable steps to enhance fairness and accountability in AI-driven HR processes.
Deloitte | Generative AI and the Future of Work The Potential? Boundless (2024)
This research explores the transformative impact of Generative AI on the future of work, offering actionable insights for HR leaders and executives. It examines how Generative AI is reshaping job roles, skills requirements, and organisational structures while emphasising the need for human-centric approaches to AI integration.
Boston Consulting Group | GenAI Doesn’t Just Increase Productivity. It Expands Capabilities (2024)
This article discusses how generative AI enhances productivity by automating repetitive tasks and expanding workers' capabilities. It explains that AI enables employees to take on new tasks and roles without requiring prior expertise. This shift allows organisations to boost efficiency and achieve better outcomes by blending human creativity and AI-driven innovation.
Ethical Considerations in Using AI for HR | Jasmine Panayides (2024)
This article discusses the ethical implications of using AI in HR, emphasising privacy, data security, and bias prevention. It outlines the EU AI Act, which categorises AI systems by risk and mandates strict compliance for high-risk applications.