Responsible Technology Adoption Unit

The final post in our series with National Institute of Standards and Technology (NIST) on privacy-preserving federated learning is here! 👉 https://lnkd.in/eTBMtjrD This collaboration reflects on key learnings from the UK-US PETs Prize Challenges and the evolving privacy-enhancing technologies ecosystem.

Thinking about how AI can power up your organisation? We’ve published a list of case studies showing how government is using algorithmic tools to safely make quick decisions and cut backlogs. Find out more ⬇️ https://lnkd.in/eZkJyCMe

We're excited to announce the publication of new Algorithmic Transparency Records. These records provide insight into how algorithmic tools are used across the public sector, helping to build trust and understanding in AI technologies.  https://lnkd.in/eZkJyCMe

Ever wondered what the public think about the use of data and AI? The Responsible Technology Adoption Unit Tracker Survey has the answers 👇

It's the most wonderful time of the year 🌟 our annual Public Attitudes to Data and AI Tracker Survey has landed! Wave 4 brings lots of exciting new features on top of our usual offer of tracking data on attitudes towards data-driven technologies. This year, you can find: - a downloadable PDF of our executive summary with fun graphics 🤩 - an extended infographic with our top findings 📊 (see the post below 👇) - more data tables than ever before with boosted regional insights 🌐 - case studies and social listening included in-text 💫 We are so proud of this flagship piece, and as ever it was brilliant to work with Sylvie Hobden, Jill Simpson, and the team at Savanta on another fantastic Wave!

The latest wave of the Public Attitudes to Data & AI Tracker Survey is here! https://lnkd.in/ear4dbXV This year, we surveyed 5,000+ people across the UK to explore their views on data & AI. Dive into the key findings below. Just 1 in 4 understands that AI systems are trained on data. There’s work to do in demystifying how AI works. And it’s not just what data is used for - it’s who is using it. Trusted organisations = more support for data sharing. 📖 Read the full report for more insights on public attitudes to data and AI.

Curious about public opinion on data and AI? We’ve published our tracker survey every year since 2021. Explore last year’s findings and keep your eyes peeled for an update soon 👀 https://lnkd.in/eqQ7nfGg

Our Portfolio of AI Assurance Techniques just got bigger! https://lnkd.in/enQu_TCt With brand-new use cases, the portfolio now features 75 real-world case studies that highlight practical techniques to ensure trustworthy AI development. Are you working on something similar? We're always open to showcasing new examples! Share your case study with us: [email protected]

We've published the latest post in our blog series with National Institute of Standards and Technology (NIST). Read Information Commissioner's Office's advice for making the most of federated learning while complying with UK data protection regulations.   Find out more: https://lnkd.in/ej9ZC_tM

Today we’re launching the new PETs Cost-Benefit Awareness Tool! Developed with Information Commissioner's Office, it will help organisations in the public and private sectors assess the value of privacy enhancing technologies, using a clear framework and real-world use cases. Why PETs? Many organisations find it challenging to quantify the benefits of Privacy Enhancing tech. Our new tool provides a detailed framework, example use cases, and a checklist to make building a business case for PETs straightforward and practical: https://lnkd.in/eQzC347F