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🔆 Measuring Responsible AI: TLDR of the World’s 1st Global R-AI Index

Responsible AI world rankings, huge energy demands of AI data centres and Anthropic's fast new model.

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🗞️ Issue 24 // ⏱️ Read Time: 6 min

Hello 👋

Have you ever asked yourself how we can recognise or measure responsible AI? The definition and measurement of responsible AI practices have proven to be critical challenges. The Global Index on Responsible AI (GIRAI) addresses these challenges head-on. This multidimensional tool assesses the progress toward responsible AI in 138 countries, using a structured framework of metrics and methodologies. In this week’s newsletter, we break down the key findings and recommendations of the first edition of the Global Index.

In this week's newsletter

What we’re talking about: The first report by the Global Index on Responsible AI (GIRAI). The largest global data collection on responsible AI to-date, this study provides a detailed assessment of responsible AI governance and practices across 138 countries. 

How it’s relevant:  This groundbreaking tool provides valuable insights into the global state of responsible AI, highlighting both progress and areas for improvement.

Why it matters: By addressing the identified gaps and building on existing strengths, we can work towards an AI ecosystem that is not only technologically advanced but also ethically sound and inclusive.

Big tech news of the week…

🖥️ Anthropic has a fast new AI model: Claude 3.5. It says it can equal or better OpenAI’s GPT-4o or Google’s Gemini at writing and translating code, handling multi-step workflows, interpreting charts and graphs, and is apparently better at understanding humour!

🌍 AI is already wreaking global havoc on Global Power Systems. AI data centres are huge energy black holes, consuming as much energy as 30,000 homes – and their rapid growth is straining global grids. The numbers are astonishing: Sweden could see power demand from data centres roughly double over the course of this decade.

AI and Euro 2024: VAR is shaking up football. Updates to the technology can help referees to make the toughest calls. The faster the computational power gets, the more you can take massive data sets and render them very quickly. One major application is detecting violations of the offside rule (known as semi-automated offsides).

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