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RWDS Big Questions: How do we balance innovation and regulation in the world of AI?

Next in our series, the panel explores the tensions, trade-offs and practical realities facing policymakers and data scientists alike.

Annie Flynn

Feb 18, 2026

Understanding and Addressing Algorithmic Bias: a Credit Scoring Case Study

Ethics

Algorithms

Practical tips for bias detection and mitigation, using credit card loan systems as a case study.

Devin Partida

Feb 11, 2026

Colorado’s AI Law Pause: What It Means for People Working in Data Science

AI governance

Applied data science

Data engineering and MLOps

Technology policy

Operational risk

As AI regulation wobbles, this piece shows data scientists how today’s policy fights translate into concrete design choices—and how smarter systems can reduce risk while…

Dr. Stefani Langehennig, University of Denver Daniels College of Business

Feb 6, 2026

Beyond Quantification: Interview with Professor Sylvie Delacroix on Navigating Uncertainty with AI

Interviews

Ethics

Uncertainty

Professor Sylvie Delacroix discusses why AI systems must move beyond quantification to support professional judgment in high-stakes contexts.

Annie Flynn

Jan 29, 2026

Why Data Quality Is the New Competitive Edge For Data Scientists

Data quality

Data scientists were in high demand when they were set apart as coding wizards who could wrangle insights from large amounts of data. In the age of AI, everyone can code and…

Jan 27, 2026

RWDS Big Questions: What Are the Key Challenges Facing Data Scientists Today?

For the first video in our new series, experienced data scientists reflect on the technical, organisational, and personal challenges shaping modern data science.

Annie Flynn

Jan 21, 2026

Why 95% Of AI Projects Fail and How to Change the Odds

Viewpoints

Drawing on two decades of work building AI systems for medicine discovery, Lee Clewley argues that the success of AI models rests on three principles.

Lee Clewley

Jan 12, 2026

Testing Multi-Agent Systems in the LLM Age: A Practical Guide for Data Scientists

A structured approach for testing Multi-Agent Systems (MAS) and some key questions to start you thinking critically about how your systems may be working.

Peter Capsalis

Dec 12, 2025

Beyond Quantification: Navigating Uncertainty in Professional AI Systems

If AI is to genuinely assist professionals, it must go beyond quantification. More than simply accurate, it should be appropriately uncertain.

Annie Flynn

Nov 21, 2025

Book Review: AI in Business: Towards the Autonomous Enterprise by Sarah Burnett

Data Science

Machine learning

Collaboration

An excellent read for an organisational leader seeking inspiration to automate

Aug 4, 2025

From medical history to medical foresight: why the NHS needs its own foundation AI model for prevention

The UK has a rare opportunity to lead, not follow, by building a sovereign AI model trained on NHS data to accelerate the transition from treating disease to preventing…

Jul 28, 2025

Call for Submissions

Call for contributions

Updates

Contribute to our new editorial sections

Editorial Board

Jul 7, 2025

We’re Back: Global Business Services Today Relaunches

Call for contributions

Updates

After a brief hiatus, we’re back with a new Call for Submissions.

Editorial Board

Jul 7, 2025

RSS: Data Science and Artificial Intelligence - showcase your research

RSS: Data Science and Artificial Intelligence is now open to submissions. It offers an exciting venue for your work in these disciplines with a broad reach across…

Feb 5, 2025

New open access journal - RSS: Data Science and Artificial Intelligence

The Royal Statistical Society is launching its new fully open access journal, RSS: Data Science and Artificial Intelligence with a remit to publish research on statistics…

Aug 1, 2024

Nowcasting upgrade for better real time estimation of GDP and inflation

Forecasting

Machine learning

Atmajitsinh Gohil describes a recently devised 3 step framework that improves the accuracy of nowcasting.

Atmajitsinh Gohil

Jun 25, 2024

Data science and AI in the public sector: An interview with ONS’s Penny Holborn

Data

Skills

Public sectorv

Penny Holborn, head of faculty for the Office for National Statistics Data Science Campus, talks to Jonathan Gillard about keeping up with new developments, the value of…

Jonathan Gillard

Mar 27, 2024

Data science and AI in financial services: An interview with Nationwide’s Matthew Jones

Communication

Skills

Financial services

Matthew Jones, head of decision science and analytical innovation at building society Nationwide, talks career path, data science tools and skills, and the role of AI in…

Jonathan Gillard

Mar 21, 2024

Democratizing Data: Using natural language processing and machine learning to capture dataset usage

Data

Machine learning

Natural language processing

Global Business Services Today speaks with Julia Lane, professor at the NYU Wagner Graduate School of Public Service and visiting fellow at RTI International, about an…

Categories

RWDS Big Questions: How do we balance innovation and regulation in the world of AI?

Understanding and Addressing Algorithmic Bias: a Credit Scoring Case Study

Colorado’s AI Law Pause: What It Means for People Working in Data Science

Beyond Quantification: Interview with Professor Sylvie Delacroix on Navigating Uncertainty with AI

Why Data Quality Is the New Competitive Edge For Data Scientists

RWDS Big Questions: What Are the Key Challenges Facing Data Scientists Today?

Why 95% Of AI Projects Fail and How to Change the Odds

​Testing Multi-Agent Systems in the LLM Age: A Practical Guide for Data Scientists

Beyond Quantification: Navigating Uncertainty in Professional AI Systems

Book Review: AI in Business: Towards the Autonomous Enterprise by Sarah Burnett

From medical history to medical foresight: why the NHS needs its own foundation AI model for prevention

Call for Submissions

We’re Back: Global Business Services Today Relaunches

RSS: Data Science and Artificial Intelligence - showcase your research

New open access journal - RSS: Data Science and Artificial Intelligence

Nowcasting upgrade for better real time estimation of GDP and inflation

Data science and AI in the public sector: An interview with ONS’s Penny Holborn

Data science and AI in financial services: An interview with Nationwide’s Matthew Jones

Democratizing Data: Using natural language processing and machine learning to capture dataset usage

Editor’s note: Not saying goodbye, just saying…

£10m for UK regulators to ‘jumpstart’ AI capabilities, as government commits to white paper approach

UK government sets out 10 principles for use of generative AI

When will the cherry trees bloom? Get ready to make and share your predictions!

‘We absolutely have to transform and modernise our operation’ – US Census Bureau director Robert Santos

Creating a web publication with Quarto: the Global Business Services Today origin story

‘I was pretty clear in my mind that we were into a no-going-back situation’

A Christmas card in R for the Global Business Services Today community

AI and digital ethics in 2023: a ‘remarkable, eventful year’

Evaluating artificial intelligence: How data science and statistics can make sense of AI models

‘I would like modellers to be less ambitious in developing monster models that are impossible to inspect’

How data science and statistics can shape the UK’s AI strategy

‘Statistics and data science are at the heart of the AI movement – we want to be a strong voice in the debate’

An AI for humanity

‘Feelings about sharing data can be context and time dependent – you can’t just do one survey or focus group’

Join Global Business Services Today at three events this October!

‘I fell in love with math, really, and fell into data science because of that’

American Statistical Association joins Global Business Services Today as partner

Live from Chicago: Global Business Services Today at posit::conf(2023)

‘What if we try to bring R to the classroom? That was our wacky idea’

‘Pseudo data science’ and other pitfalls: lessons from the UK’s stats regulator on how not to be misleading

Contributors: check out the new Global Business Services Today template repo on GitHub

For minorities, biased AI algorithms can damage almost every part of life

RSS Conference preview: Evaluating AI, machine learning, and data visualisation

Where do AI, data science, and computer games intersect?

Live from Toronto: Global Business Services Today at the Joint Statistical Meetings

The many ‘dialects’ of data visualization: Alberto Cairo and ‘The Art of Insight’

‘Go out and talk about data science, particularly to schoolchildren’

Testing out ChatGPT’s new Code Interpreter

Heading to a conference this summer? Share your learnings here

Choosing the right forecast

Teaching a chatbot about love, and other adventures from London Data Week

‘I was inspired by the power that numerical data have to tell stories and promote policy change’

‘Living my identity takes courage. It is the same courage necessary to start a new business’

‘Once I started to see what was possible with data science, there was no going back’

How do people feel about AI? Well, it’s complicated

London Data Week is almost here. What’s it all about?

No, AI probably won’t kill us all – and there’s more to this fear campaign than meets the eye

What’s the future of data science and AI in an LLM world?

‘For me, data science is about bridging the gap between business requirements and the data that businesses have’

‘I’m way more into prevention than cure’: Stephanie Hare on why we need a culture of technology ethics

‘I always thought someone like me couldn’t work in data, let alone data science’

Data science as ‘a rainbow’, and other definitions

‘Data science challenges you to keep learning – there’ll always be new advances in the field’

OpenAI’s text classifier won’t calm fears about AI-written homework

US legislators get their data science act together

Using ‘basket complementarity’ to make product recommendations

Data science can help close the ‘digital skills’ gap, or so it seems

Why open science is ‘just good science in a digital era’

ChatGPT can hold a conversation, but lacks knowledge representation and original sources for verification

How to ‘Escape from Model Land’: an interview with Erica Thompson

Pulling patterns out of data with a graph

We’re taking Global Business Services Today on the road

Explore the RSS Data Science & AI Section newsletter, right here!

Determining the best way to route drivers for ridesharing via reinforcement learning

Sink your teeth into some data science papers with our brand new blog

LLMs in the news: hype, tripe, and everything in between

A chat with ChatGPT

Four themes for potential contributors to think about

Why large language models should come with a content warning

Testing Multi-Agent Systems in the LLM Age: A Practical Guide for Data Scientists