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The NSW government should look both abroad and at home for guidance on how to regulate burgeoning AI technology rather than “reinvent the wheel”,...
The EU’s forthcoming AI Act imposes requirements on companies designing and/or using AI in the European Union and backs it up with stiff penalties. Companies need to analyse where they might fail to comply and then operationalise or implement the requisite steps to close the gaps to reflect internal alignment. For...
OpenAI's new generative AI system produces realistic and imaginative videos from text prompts, but the sample outputs published so far raises some concerns.
AI systems are powerful tools and can be of great assistance in legal practice if used correctly and within the goalposts of solicitors’ ethical and professional obligations. For solicitors to be able to gauge and assess whether AI is being used within these goal posts, its recommended they have a general...
Can AI safety shed any light on old corporate governance problems? And can the law and economics of corporate governance help us frame the new problems of AI safety? There are five lessons — and one dire warning — on the corporate governance of AI made vivid by the corporate turmoil at OpenAI.
Businesses are increasingly using AI to generate media content, including news, to engage their customers. For better or worse, AI is changing the nature of news media.
The use of generative AI promises to continue to grow rapidly. Consequently, leaders must understand the risks and challenges of this new technology and develop policies and practices to guide its usage. This article explains the areas of concern and offers guidance in addressing them.
Although advances in artificial intelligence offer them ever more profit potential, firms must also prepare for the day of regulatory reckoning. How can business leaders get the balance right?
Companies are struggling with where to start with generative AI. The authors’ case studies, based on their growing global community of over 3,000 GenAI practitioners, point to a new category of work, more precise and actionable than “knowledge work.” They call it WINS Work — the places where tasks, functions,...
Today, AI questions dominate communications circles. While the topics vacillate from efficiency to bias, what’s most evident is the lack of technical understanding or even curiosity. The overriding emotion is fear, which is never a good starting point.