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Why Organisations Should be Concerned and What we can do to Safeguard In the rapidly evolving landscape of artificial intelligence, large language models (LLMs) in the form of agents or copilots are gradually becoming indispensable tools for businesses, enhancing customer service, automating content creation, and driving innovation. However, with great power comes great responsibility, and the rise of persuasive adversarial prompts (PAPs) poses a significant threat to the integrity and safety of these advanced systems. Let’s start our journey to explore this topic by first understanding Persuasive Adversarial Prompts. Understanding Persuasive Adversarial Prompts (PAP) Persuasive Adversarial Prompts are sophisticated techniques used to subtly influence the behaviour of AI systems. By crafting carefully designed inputs, PAP can steer AI responses towards desired outcomes, often without the user’s awareness. This technique leverages the AI’s inherent ability to generate human-like tex...

To date, all software has been programmed to complete a specific task. It may have parameters, by they have been considered and configured ahead of time to provide constraints on the product’s capability. AI however, isn’t created nor doesn’t function this way. The new paradigm Counterintuitively, similar prompt inputs can elicit multiple unique responses and to complicate things further, these responses could be partially or completely wrong. This means users will now not only have to prompt the system but critically review the results. This puts the onus on the user to vet the results and is a completely new workflow for the majority of users. AI is a powerful new technology which bring with it unique UX (user experience) considerations. These 7 interactions tips provide guidance on key areas where we can leverage current best-practice to create familiar and usable AI interfaces that ground these new products in reliably good experience design. 1: Tell users what AI can and can...

I’m thrilled to announce that our beloved newsletter, AI PULSE , is now a weekly affair. That’s right, we’ve ramped up the frequency, so you can now get your AI fix every single week. Why the change? Well, the feedback has been phenomenal since we launched AI PULSE last month. Our readers have been devouring the content faster than we can produce it, and the demand for more frequent updates was loud and clear. We’ve listened, and here we are, ready to serve you with the latest and greatest in AI news and trends, delivered straight to your inbox every week. What’s in AI PULSE? Our newsletter is a treasure trove of AI-related business and technology stories, focusing on real-life applications around the world. Whether you’re a seasoned AI professional or just curious about the buzz, AI PULSE has something for everyone. Here’s a glimpse of the most popular topics being read so far: AI Trends, Adoption, and Usage: Stay ahead of the curve with insights into how AI is being adopted ...

Large language models (LLMs) are incredibly adept at understanding the nuances of human language, mimicking human conversation and creating human-quality text responses. As such, they’re commonly used to power various tools, including chatbots and intelligent assistants, enabling them to understand user requests, have natural conversations and provide helpful responses. Ultimately, LLMs are responsible for unlocking generative AI’s exponential growth. However, despite the success of LLMs in powering generative AI, they aren’t very accessible, mainly being closed-source and proprietary, a significant barrier to widespread adoption. With a distinct lack of open-source alternatives, developers have been searching for more accessible and inclusive options. This is where LangChain has come into its own, bridging the gap between LLMs and real-world applications and making AI language more accessible and practical to both AI development companies and application users. What is LangChain? ...

Rise of AI-Enabled PC As AI technology continues to integrate into the consumer world at an unprecedented pace, the role of Chief Information Officers (CIOs) and Chief Technology Officers (CTOs) in managing this transition is becoming increasingly critical. Recent statements from HP’s CEO, Enrique Lores, highlight a significant trend: AI-powered PCs are projected to constitute 10% of HP’s shipments in the fiscal year’s second half . This surge in AI adoption in consumer products underscores the urgent n eed for enterprise leaders to establish comprehensive AI policies and controls to mitigate the risks associated with shadow growth and ensure the strategic deployment of AI technologies within their organisations. Commercial PC Trends HP’s projection of AI PCs making up a tenth of its shipments by the end of the fiscal year represents a substantial shift in the market. The company expects to ship 32 million units of AI-enabled PCs, illustrating the growing demand and integration of...