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The Irreplaceable Value of Human Decision-Making in the Age of AI
Martin Reeves, Mihnea Moldoveanu and Adam Job, Harvard Business ReviewThe rise of AI presents an opportunity for humans to step up to the challenge of refining, emphasising, and applying our human strengths to differentiate corporate decision-making. However, human capabilities are often untrained, impulsive, or implicit. Thus, to distinguish and elevate their decision-making...
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Turbocharging Organisational Learning With GenAI
Paul Baier and John J. Sviokla, MIT Sloan Review, 13 January 2025Generative AI can radically improve an organisation’s ability to learn. With the introduction of ChatGPT in 2022 the machines talked back. Instead of having to “speak” Java or Python, people could use everyday dialogue — which is why the tool garnered more than 100 million users in its first two months of public availability.
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What Is Agentic AI, and How Will It Change Work?
Mark Purdy, Harvard Business ReviewThe way humans interact and collaborate with AI is taking a dramatic leap forward with agentic AI. Think: AI-powered agents that can plan your next trip overseas and make all the travel arrangements; humanlike bots that act as virtual caregivers for the elderly; or AI-powered supply-chain specialists that can...
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Top AI trends in 2024: Transforming business across industries
AppinventivWith technology evolving at a breakneck speed, many companies are finding it difficult to keep up with rapid developments in AI. Integrating AI into existing business operations is a complex challenge requiring significant investment in infrastructure and specialised talent.
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Tech Trends 2025
DeloitteTwo years after generative AI staked its claim as the free space on everyone’s buzzword-bingo cards, you’d be forgiven for imagining that the future of technology is more AI. That’s only part of the story, though and we propose that the future of technology isn’t so much about more AI as it is about ubiquitous...
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The AI revolution is running out of data. What can researchers do?
Nicola Jones, NatureThe Internet is a vast ocean of human knowledge but AI researchers have nearly sucked it dry. The past decade of explosive improvement in AI has been driven in large part by making neural networks bigger and training them on ever-more data. This scaling has proved surprisingly effective at making large language...
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AI Is Testing the Limits of Corporate Governance
Roberto Tallarita, Harvard Business ReviewThe boardroom war at OpenAI, the company behind ChatGPT, has put a spotlight on the role of corporate governance in AI safety. Few doubt AI is going to be disruptive for society, and governments are beginning to devise regulatory strategies to control its social cost.
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Summary: Centre for Corporate Public Affairs’ AI and Corporate Affairs executive education module
Wayne Burns, The Centre for Corporate Public AffairsAI has rapidly evolved from simple algorithms to complex neural networks, significantly impacting various sectors. AI technologies, particularly...
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Building AI trust: The key role of explainability
Carlo Giovine, Roger Roberts, Mara Pometti and Medha Bankhwal, McKinsey & CompanyTo capture the full potential value of AI, organisations need to build trust. Trust, in fact, is the foundation for adoption of AI-powered products and services. After all, if customers or employees lack trust in the outputs of AI systems, they won’t use them.
This conundrum has raised the need for enhanced...
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What are AI guardrails?
McKinsey & CompanyWith the advent of generative AI (gen AI), the concept of guardrails applies to systems designed to ensure that a company’s AI tools, especially large language models (LLMs), work in alignment with organisational standards, policies, and values.
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