The AI Pulse

Issue #16 — 13th January 2025

Editor: Alan Brown

Welcome to the latest edition of The AI Pulse for Digital Leaders. An expertly curated collection of essential articles, commentaries, and news stories from reputable sources. Do you know anyone who might be interested in AI Pulse. Have some news or looking to partner? Just get in touch at: [email protected]

Highlights in this edition include:

UK government plans to use AI across the UK to boost growth and deliver public services more efficiently

UK MoD must learn from the Ukraine conflict and embrace AI.

Elon Musk says all human data for AI training has been ‘exhausted’.

Everyone has a role to play to ensure data quality .

AI for Good

An article in The Guardian asks if AI-generated ‘slop’ is slowly killing the internet, so why is nobody trying to stop it?

The Guardian reports on a major study showing higher detection rates of breast cancer are found when using AI without having a higher rate of false positives .

Bias and Ethics

Wired reports that Meta has been secretly training its AI on a notorious piracy database, according to newly unredacted court documents.

An Arstechnica article reports that it’s remarkably easy to inject new medical misinformation into LLMs by changing just 0.001% of inputs.

Cyber Security

The Centre for Emerging Technology and Security (CETAS) group at the Alan Turing Institute predicts that the emerging technology landscape will continue to evolve at pace throughout 2025, with significant implications for national and international security.

ZDNET looks at how AI will transform cybersecurity in 2025 - and supercharge cybercrime.

A major UK Parliamentary review finds that the Ministry of Defence (MoD) must learn from the Ukraine conflict and embrace AI.

A Booz Allen Hamilton report reviews how AI adoption is creating unique threats and vulnerabilities, prompting leaders across sectors to rethink the security status quo.

Data & Decision Making

The Incubator of AI (iAI) has just open-sourced this list of 'Awesome UK Government Datasets' for use in AI projects (and elsewhere).

The Guardian reports that Elon Musk says all human data for AI training has been ‘exhausted’.

An article in The Economist reminds us to beware of thinking that data is neutral - it is open to different interpretations.

An HBR article reminds us that everyone has a role to play to ensure data quality .

Innovation & Collaboration

None of today’s AI advances would be possible without the pioneering work of people like Peter Kirstein who describes how the UK was first connected to the internet.

What does it mean to innovate or to be an innovator when it's not part of your job description? This report from Apolitical features five examples of government innovation projects in Mexico, Thailand, the United Kingdom, Estonia and Lithuania.

Productivity & Efficiency

Explore the business case for responsible AI in this new IDC whitepaper.

An HBR article reports on a comprehensive study to discover what companies succeeding with AI do differently to those that struggle.

CIO Magazine reports that pilot fatigue and high failure rates have many organizations shifting GenAI investments toward more targeted business use cases.

The BBC reports that the UK government is to set out plans to use AI across the UK to boost growth and deliver public services more efficiently, with tech firms, committing £14bn towards various projects, and creating 13,250 jobs.

Regulation and Compliance

Michael Watkins and Michael Wade, Professors at IMD, provide their views on the components of a roadmap for Regulating GenAI.

Sustainability

An article in Forbes considers if cloud ERP, AI and sustainability will converge for success In 2025.

MIT Sloan Management report examines AI’s high data center energy costs but believes there are solutions .

User Experience

According to a research study reported in HBR, consumers don’t want AI to seem human.

Workforce & Skills

A World Economic Forum (WEF) report on “The Future of Jobs” reviews over 1,000 leading global employers to explore their workforce transformation strategies.

An article from MIT explains how the unequal adoption of ChatGPT exacerbates existing inequalities among workers.

The Data Scientist describes 3 reasons why humans still matter in HR even in today’s AI driven world.

Arstechnica reports that a World Economic Forum (WEF) study estimates AI could create 78 million more jobs than it eliminates by 2030.

As job seekers are using GenAI for interview preparation MIT Sloan Management Review considers ways to use AI to determine their true capabilities.

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