Knowledge Centre
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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...
ai
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.
ai
governance
The Strategic Power of Hope
Jamil Zaki, Harvard Business ReviewNegativity attracts attention and is often equated with intelligence, so it’s no surprise leaders feel they need to focus on what might go wrong. That kind of defensive posture can be helpful, in but it can narrow your focus and make it hard for you to recognise opportunities.
leadership communications
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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WEGA Gender Equality Scorecard 2023-2024
Workplace Gender Equality AgencyGender equality is clearly on the agenda in Australian workplaces. 90 per cent of employers have a policy or strategy to support gender equality in the workplace. More employers are seeking to reduce their gender pay gaps and improve gender equality in their organisations, including in workforce composition,...
corporate responsibility
workplace
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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To become a better presenter, look inward
Deborah Grayson Riegel, Harvard Business ReviewIt’s much easier to change and improve how we communicate when we understand why we speak and behave the way we do. That’s why the most effective presenters and communicators often have a strong sense of their identities and a level of self-awareness acquired through reflecting on their beliefs, attitudes, and...
communication
A Practical Guide to Gaining Value from LLMs
Rama Ramakrishnan, MIT Sloan ReviewWhen large language models exploded onto the scene in 2022, their powerful capabilities to generate fluent text on demand seemed to herald a productivity revolution. But although these powerful AI systems can generate fluent text in human and computer languages, LLMs are far from infallible.
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Why not all rule-breaking is bad for businesses
Sam Forsdick, RaconteurWorkforce miscreants have been in the firing line recently, as companies crack down on corporate rule-breakers. Both EY and Meta have recently dismissed staff for flouting company policies.
workplace
Media & Entertainment Consumer Insights 2024
DeloitteDeloitte’s 13th edition of Media & Entertainment Consumer Insights takes you on a journey through the ever-changing Australian digital landscape.
media relations