The recent decision by OpenAI to suspend toymaker FoloToy from using its ChatGPT models, after its AI-powered teddy bear was found dispensing highly inappropriate and dangerous advice to children, has sent a stark warning to an industry – worth $445 Billion annually – that relies on consumer trust. The OpenAI decision follows a string of […]
Why OpenAI’s Teddy Bear Ban Signals a Critical Juncture for AI Toys Read More »
Key topics in this article… In high-stakes, regulated industries, the promise of artificial intelligence (AI) is undeniable — faster decisions, deeper insights, and greater efficiency. But when lives, compliance, and critical operations are on the line, the question isn’t whether to use AI, but how to use it responsibly. Cutting-edge algorithms and powerful language models
Key topics in this article… Generative AI can offer significant benefits across all stages of a business’ supply chain, but it’s crucial to acknowledge and address the associated risks that this AI implementation can create both upstream and downstream within your supplier network. By adopting robust risk management strategies, businesses can harness the power of
Generative AI Risk Management Strategies for a Resilient Supply Chain Read More »
The legal profession has encountered a stark reminder of the need to adopt responsible AI strategies following a recent announcement that the California bar exam, utilised artificial intelligence in the drafting of some of its questions. The admission, which came from the State Bar of California followed earlier complaints about question quality and technical glitches.
AI-Authored Bar Exam is a Wake-Up Call for Legal Profession Read More »
The UK’s Department for Work and Pensions (DWP) has recently discontinued several AI projects amid growing concerns regarding transparency, data privacy, and responsible AI implementation. This decision comes at a time when the UK government is actively promoting AI advancements through its AI Opportunities Action Plan, highlighting a significant tension between innovation and ethical governance.
UK DWP Halts AI Projects Over Transparency Concerns Read More »
Leading accounting software provider Sage Group plc recently confirmed the temporary suspension of its AI-driven Sage Copilot after discovering a data-sharing issue that exposed customer information to unintended recipients. While the company described the problem as a “minor issue,” it raises significant concerns about the challenges regulated industries face when integrating AI technologies. Sage Copilot
Accounting Software Sage Copilot Paused After Sharing Customer Data Read More »
New research has found that lack of trust and doubts about reliability are two of the most significant challenges facing AI adoption among workers. Highlighting significant concerns that need to be addressed for organisations to reap the benefits of AI. The YouGov research surveyed more than 2,100 working adults in the U.S. and UK in
Why Trust and Reliability are Critical to AI Adoption in the Workplace Read More »
Enterprise artificial intelligence, particularly large language models (LLMs) and generative AI, continues to permeate across many industries, with adoption looking to accelerate during 2025. These models have demonstrated impressive capabilities in generating human-quality text, translating languages, and even writing different kinds of creative content. However, despite Gen AI advancements, accuracy in these models remains a
Addressing Accuracy Limitations of Gen AI and LLMs Read More »
AI is rapidly altering the landscape of the job market. While some may view this change with apprehension, fearing widespread job displacement, it’s crucial to recognise the transformative potential of AI as a powerful collaborator, not a competitor. By analysing the evolving work landscape, the reskilling required, and the types of roles potentially impacted by
The AI Augmented Workforce – Reskilling in the Generative Age Read More »
As Artificial Intelligence rapidly transforms industries, many organisations are exploring its potential to reshape business processes and boost efficiency. In a recent report, Accenture found that 90% of companies are actively investigating AI or generative AI capabilities. However, the findings also indicate a critical gap in AI readiness, with fewer than 2% of companies investing
The Urgent Need for Responsible AI: Why Less than 2% of Companies are Fully Prepared Read More »
