Author name: ethicAil

UK DWP Halts AI Projects Over Transparency Concerns

UK DWP Halts AI Projects Over Transparency Concerns

AI Government, AI Policy, News, Responsible AI /

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. […]

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Accounting Software Sage Copilot Paused After Sharing Customer Data

Accounting Software Sage Copilot Paused After Sharing Customer Data

Uncategorized /

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

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Why Trust and Reliability are Critical to AI Adoption in the Workplace

Why Trust and Reliability are Critical to AI Adoption in the Workplace

AI Insight & Leadership, Ethical AI, Responsible AI, Trusted AI /

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

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Accounting Software Provider’s AI Tool Paused After Sharing Customer Data

Accounting Software Provider’s AI Tool Paused After Sharing Customer Data

AI Accounting, AI Risk Management, News /

Leading accounting software provider Sage Group plc recently confirmed the temporary suspension of its AI tool – 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

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Addressing Accuracy Limitations of Gen AI and LLMs

Addressing Accuracy Limitations of Gen AI and LLMs

AI Insight & Leadership, AI Risk Management, Generative AI /

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

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The AI Augmented Workforce - Reskilling in the Generative Age

The AI Augmented Workforce – Reskilling in the Generative Age

AI Insight & Leadership, AI Management, Human Resources AI /

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

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The Urgent Need for a Responsible AI Program - Why Fewer Than 2% of Companies are Fully Prepared

The Urgent Need for Responsible AI: Why Less than 2% of Companies are Fully Prepared

AI Governance, AI Insight & Leadership, Responsible AI /

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

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Study Reveals AI Models' Growing Tendency to Guess Rather than Admit Ignorance

Study Reveals AI Models’ Growing Tendency to Guess Rather than Admit Ignorance

Generative AI, News, Responsible AI /

A recent study published in Nature has revealed that as large language AI models (LLMs) become more sophisticated, they seem increasingly prone to overconfidence. Leading to newer, larger language AI models becoming less likely to admit their ignorance. Researchers from the Universitat Politècnica de València subjected the latest versions of BigScience’s BLOOM, Meta’s Llama, and

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European Commission’s New AI Watchdogs Appoints Expert Panel for Code of Practice

European Commission’s New AI Watchdogs Appoints Expert Panel

AI Policy, AI Regulation, News /

The European Commission has announced the appointment of 13 experts who will be responsible for drafting a Code of Practice for General Purpose Artificial Intelligence (GPAI), under the AI Act. The purpose of the code is to serve as a guideline for companies developing and deploying generative AI models like ChatGPT and Google Gemini. Implementing

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Company Backtracks on Controversial Plan to Grant Rights to AI Workers

Company Backtracks on Controversial Plan to Grant “Rights” to AI “Workers

Ethical AI, News, Responsible AI /

In a move that sparked outrage among employees and industry experts alike, HR software company Lattice has reversed course on its plan to integrate AI “workers” into its organizational structure and grant them “rights” similar to human employees. The announcement, made last week, sent shockwaves through the tech world. Lattice claimed it was “making history” by assigning AI models

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