Data-centric AI

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stroke="white" stroke-width="2.19048"/> </svg> <svg class="icon-cross" viewBox="0 0 18 18" width="30" height="30" fill="none" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" class="icon-cross"> <path stroke="#fff" stroke-width="1" stroke-linecap="round" d="m1.636 1.222 14.142 14.142M15.556 1.414 1.414 15.556"/> </svg> </button> </div> </div> </div> </nav> <header class="header header--article"> <div class="contained-width"> <p class="header--article__category">Project</p> <h1 class="header__title">Data-centric AI</h1> <p class="header__intro">Without data, there would be no AI. To deliver on AI safety we need to consider the data infrastructure of existing and future applications of AI.</p> </div> </header> <main id="main"> <div class="main-content"> <article class="main-content__body contained-width"> <div class="hero-image-container"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/9.1_Face-Blue-ArticleHeroBanner-1.2e16d0ba.fill-1110x452.png, https://theodi.cdn.ngo/media/images/9.1_Face-Blue-ArticleHeroBanner-1.2e16d0ba.fill-2220x904.png 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/9.1_Face-Blue-ArticleHeroBanner-1.2e16d0ba.fill-1110x452.png" srcset="https://theodi.cdn.ngo/media/images/9.1_Face-Blue-ArticleHeroBanner-11.2e16d0ba.fill-555x226.png 555w, https://theodi.cdn.ngo/media/images/9.1_Face-Blue-ArticleHeroBanner-1.2e16d0ba.fill-1110x452.png 1110w, https://theodi.cdn.ngo/media/images/9.1_Face-Blue-ArticleHeroBanner-1.2e16d0ba.fill-2220x904.png 2220w" alt="9.1 Face-Blue-ArticleHeroBanner-1110x452-ODI-Research" loading="lazy" fetchpriority="auto" decoding="async" class="header__img" sizes="(max-width: 400px) 555px, 600px"> </picture> </div> <p class="article__meta__metadata"> <time datetime="2023-11-28">Tue Nov 28, 2023</time> </p> <div class="child-page__layout"> <div class="child-page__main"> <section class="block-rich_text"> <p data-block-key="odgez">Artificial Intelligence (AI) may not be a new concept in the technology world, but the public release of ChatGPT a year ago marked a step change. The release gave anyone with access to the internet the ability to "talk" to an AI programme like ChatGPT, Claude, or Midjourney using text prompts rather than specialist language. It sparked an unprecedented wave of research, development, and policy-making that advanced our understanding of the technology and how it could be used ethically and equitably. It also sparked a lot of fear, uncertainty and doubt, including concerns about data privacy, the use of copyrighted content, and authenticity.</p><p data-block-key="jii6">Beyond the hype, recent progress in foundational models (FMs) and their accelerated adoption by businesses and government bodies can bring significant opportunities for efficiencies, economic growth and innovation, but there are also significant risks of misinformation, job losses, discrimination, and social inequalities. Balancing these features requires an ecosystem view of AI, which acknowledges the role of data, computing, governance and regulation to move the field in the right direction over the next few years.</p><h2 data-block-key="aunpt">What is data-centric AI and why is it important?</h2><p data-block-key="9v7lo">Without data, there would be no AI – that applies to any form of AI, from deep learning, reasoning and planning to knowledge graphs. We need to look closer at the links between data and algorithms, drawing on approaches from multiple disciplines and engaging those directly affected by AI, as well as civic society. The latest wave of large language models (LLMs) and other FMs has disrupted how we think about many components of our data infrastructure: from the value of data we publish openly and the rights we hold on data, both individually and collectively, to the quality and governance of critical datasets. We are using the term ‘data-centric AI’ to advance our thinking in this space – the term was introduced a few years ago in the AI community to advocate for more attention to the data that AI engineers feed into their models. Expanding on the term, we use it to refer to the entire socio-technical data infrastructure of AI – this includes data <a href="https://www.stateofopendata.od4d.net/chapters/issues/data-infrastructure.html#:~:text=spatial%20data%20infrastructure.-,Defining%20data%20infrastructure,and%20the%20data%20infrastructure%20itself."><span style="text-decoration: underline">assets, tools, standards, practices, and communities</span style="text-decoration: underline"></a>.</p><p data-block-key="c8is7"></p> </section><div class="embed-block contained-width"> <p class="embed__message">This content is not shown because you have denied third-party cookies. You can view it at <a href="https://vimeo.com/884929644">https://vimeo.com/884929644</a>, or <a href="/cookies">update your cookie settings</a></p> </div><section class="block-rich_text"> <p data-block-key="6ujda">To deliver on AI safety and follow through on the commitments from the Bletchley Declaration, and other recent announcements and global regulations, we need to consider the data infrastructure of existing and future applications of AI. This goes beyond ongoing efforts to create benchmark datasets that, although useful for evaluating and comparing models, do not represent the vast scenarios in which AI is envisioned to be applied. As generative AI gains traction, there is a risk that, given the costs associated with good data practices, models will be trained and tested on synthetic or lower-quality data, leading – in time – to a degradation in performance and increasing the likelihood of harm. AI data infrastructure and better data practices should be adopted and mandated across industry, informed by the latest advances in data science and engineering, and supported by dedicated data institutions.</p><h2 data-block-key="clht3">What our data-centric AI programme aims to achieve</h2><p data-block-key="4q464">Building on more than a decade of work creating open, trustworthy data ecosystems, the ODI has helped shift the AI narrative away from an exclusive focus on model development and use towards a wider understanding of the resources – and stakeholders – needed to enable sustainable and responsible technological development. The ODI acts as a key institution researching, connecting, and amplifying diverse ideas and approaches, developing and enabling best practices for data stewardship, and convening a wide range of stakeholders in the ecosystem, including startups, entrepreneurs, researchers, policy-makers and civic society, to help develop an AI data ecosystem grounded in responsible data practices.</p><p data-block-key="5rd8i">Realising the potential of AI to benefit everyone and meet the commitments of the Bletchley Declaration, will require several essential steps in data-centric AI:</p><h3 data-block-key="bk4j">Make data AI-ready</h3><ol><li data-block-key="63t90"><b>We need to enable and support the creation of high-quality AI datasets</b>. Many AI datasets are small, synthetic, or not representative of a particular country, company or context. The result is benchmark saturation - models perform well on the data that is available, but worse when applied to solve real problems.</li><li data-block-key="9knsd"><b>Existing copyright, data protection, and worker rights must be respected when creating new AI datasets</b>. We need more research to identify gaps in how these rights are currently protected or not in the datasets used by AI systems.</li><li data-block-key="66r5v"><b>Key AI datasets must be responsibly stewarded and governed</b>. Some datasets are critical for specific sectors and need wise stewardship mechanisms to ensure they are used equitably and maintained to a high standard.</li><li data-block-key="1d6v9"><b>Public-good datasets should be continuously supported</b> as they boost innovation in many areas, including AI. A lot of progress in AI has been on the back of open datasets, but there is a danger people would stop contributing and investing in open data and most new data fed into AI models will be synthetic or of lower quality.</li><li data-block-key="9dcat"><b>Best practices in AI data assurance must be established and standardised</b>. While some toolkits are emerging, there is limited guidance or regulation to assure datasets used in public services.</li></ol><h3 data-block-key="4m803">Make AI data accessible and usable</h3><ol><li data-block-key="co0ik"><b>We need to work with data holders to study critical datasets.</b> Most datasets are poorly documented, which means that users find it difficult to understand their intended purpose, known use cases, and limitations.</li><li data-block-key="a5gq8"><b>Fair and equitable data access must be mandated to develop AI use cases with big societal implications</b> e.g. misinformation, climate, and infectious diseases.</li><li data-block-key="1hcfi"><b>Data standards should be developed</b> to reduce the cost of data operations and allow researchers and smaller businesses to build better AI data infrastructure.</li><li data-block-key="9uu1q"><b>Safe access to datasets for startups and SMEs must be enabled,</b> to boost responsible experimentation and innovation. This is one of the main roadblocks alongside access to computing and AI talent.</li><li data-block-key="26jah"><b>The potential for new AI capabilities in making data more accessible, usable, and useful for everyone should be explored.</b> There are opportunities for AI to automate or streamline processes that currently restrict or delay data sharing and use.</li></ol><h3 data-block-key="fbsks">Make AI systems use data responsibly</h3><ol><li data-block-key="93bh8"><b>Explore mechanisms that improve understanding of data in the AI lifecycle.</b> This includes exploring whether AI tech holders and downstream applications should be required to share information about data provenance and lineage to foster good data practices in the ecosystem and more thorough analysis of impacts.</li><li data-block-key="cr3b1"><b>Invest in research and innovation to develop more protective and efficient AI models</b>. This can aid the development of models that are less reliant on huge datasets, as well as models that rely less on massive amounts of data and do not trade off privacy and data protection for performance.</li><li data-block-key="ebaat"><b>Design, assess and promote more meaningful data licences</b> that support publishers and users to implement good data practices in AI.</li><li data-block-key="6fv8s"><b>Invest in creating more practical toolkits to inform new regulations and reduce compliance costs.</b> Toolkits, case studies, and peer learning have a role to play in operationalising existing and emerging regulatory frameworks.</li><li data-block-key="85b8n"><b>Strengthen responsible AI practices through research, training and data literacy.</b> AI engineers should be trained in responsible AI practices, and non-technical workers should have access to tools and training that help them understand the links between data and responsible AI.</li></ol><p data-block-key="9ubk2">The ODI is committed to advancing research and practice to implement these steps. This includes:</p><ul><li data-block-key="bj4lc">frameworks to <a href="https://theodi.org/insights/reports/understanding-the-social-and-economic-value-of-sharing-data-report/"><span style="text-decoration: underline">define and assess the value of AI data and AI business models</span style="text-decoration: underline"></a>;</li><li data-block-key="eth26"><a href="https://theodi.org/insights/projects/data-landscape-and-health-data-governance-for-the-world-health-organization-who/"><span style="text-decoration: underline">landscape reviews</span style="text-decoration: underline"></a> of emerging data-centric AI technologies such as <a href="https://theodi.org/insights/reports/federated-learning-an-introduction-report/"><span style="text-decoration: underline">federated learning</span style="text-decoration: underline"></a> and ML data assurance;</li><li data-block-key="1jise"><a href="https://theodi.org/insights/impact-stories/data-pitch/"><span style="text-decoration: underline">innovation programmes supporting startups</span style="text-decoration: underline"></a> and <a href="https://culture.theodi.org/"><span style="text-decoration: underline">artists</span style="text-decoration: underline"></a> in using data and AI responsibly to tackle grand challenges such as <a href="https://mediafutures.eu/"><span style="text-decoration: underline">misinformation</span style="text-decoration: underline"></a>; <a href="https://culture.theodi.org/applied-logic/"><span style="text-decoration: underline">ecology</span style="text-decoration: underline"></a> and <a href="https://theodi.org/news-and-events/blog/what-can-we-learn-about-international-regulatory-cooperation-from-the-global-financial-innovation-network/"><span style="text-decoration: underline">international cooperation</span style="text-decoration: underline"></a>.</li><li data-block-key="b9cbs"><a href="https://learning.theodi.org/courses/understanding-data-ethics-and-ai-self-paced"><span style="text-decoration: underline">learning courses on data ethics and AI and machine learning</span style="text-decoration: underline"></a>.</li></ul> </section> <section class="bullet-block"> <div class="contained-width"> <h2 class="bullet-block__title">Building on this work, in the next few months, we will:</h2> <div class="bullet-block__content"> <ul> <li class="bullet-block__list-item">map out the journey of data in AI model design, training, validation, testing and use to highlight common challenges in responsible data practices for AI</li> <li class="bullet-block__list-item">study existing and emerging data stewardship and governance practices in the most popular AI datasets</li> <li class="bullet-block__list-item">understand and describe the role of data-related challenges in AI incidents reports</li> <li class="bullet-block__list-item">design computational approaches to assess the impact of open data sources on AI models' performance</li> <li class="bullet-block__list-item">propose participatory approaches to data prompting as a means to help diverse audiences use generative AI tools to find and make sense of data</li> <li class="bullet-block__list-item">establish policy priorities for a future AI bill in the UK, and other data legislation, building on the findings of the programme</li> </ul> </div> </div> </section> <section class="block-rich_text"> <p data-block-key="ps9yx">There is much to do, and as technology and regulation move at lightning speed, we must prioritise this field of enquiry – and work quickly to transform ideas into action. We are excited to collaborate with Microsoft, the <a href="https://www.industrydataforsociety.com/"><span style="text-decoration: underline">Industry Data for Society Partnership</span style="text-decoration: underline"></a>, King's College London, the University of Oxford, and many others to make progress and make a difference.</p><p data-block-key="5jpo8">We are keen to hear from funders, partners and other organisations who are interested in helping to develop our programme of work. If you would like to contribute, talk about funding our work or challenge our thinking we welcome hearing from you.</p> </section> </div> <aside class="child-page__aside"> </aside> </div> </article> </div> <section class="card-group"> <div class="contained-width"> <div class="card-group__heading-group"> <h2 class="card-group__title">Work in this programme</h2> </div> <ul class="card-group__list"> <li class="card-group__list-item card card--primary card--primary--blue"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/7_AbstractFace-HeroBanner-1441x452.2e16d0ba.fill-350x200.png, https://theodi.cdn.ngo/media/images/7_AbstractFace-HeroBanner-1441x452.2e16d0ba.fill-700x400.png 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/7_AbstractFace-HeroBanner-1441x452.2e16d0ba.fill-350x200.png" srcset="https://theodi.cdn.ngo/media/images/7_AbstractFace-HeroBanner-1441x452.2e16d0ba.fill-175x100.png 175w, https://theodi.cdn.ngo/media/images/7_AbstractFace-HeroBanner-1441x452.2e16d0ba.fill-350x200.png 350w, https://theodi.cdn.ngo/media/images/7_AbstractFace-HeroBanner-1441x452.2e16d0ba.fill-700x400.png 700w" alt="7 Abstract+Face-HeroBanner-1441x452-ODI-Research" loading="lazy" fetchpriority="auto" decoding="async" class="" sizes="(max-width: 400px) 175px, 600px"> </picture> <div class="card__text"> <p class="card__type">Blog</p> <a href="/news-and-events/blog/how-the-data-for-ai-ecosystem-is-evolving/"> <h3 class="card__title">How the data for AI ecosystem is evolving</h3> </a> </div> <svg class="right-arrow" viewBox="-2.4 -2.4 28.80 28.80" fill="none" xmlns="http://www.w3.org/2000/svg"> <g stroke-width="0"></g> <g stroke-linecap="butt" stroke-linejoin="round"></g> <g> <path fill-rule="evenodd" clip-rule="evenodd" d="M12.2929 4.29289C12.6834 3.90237 13.3166 3.90237 13.7071 4.29289L20.7071 11.2929C21.0976 11.6834 21.0976 12.3166 20.7071 12.7071L13.7071 19.7071C13.3166 20.0976 12.6834 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4.29289Z" fill="#000000"></path> </g> </svg> </li> <li class="card-group__list-item card card--primary card--primary--pink"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/AdobeStock_90252961.2e16d0ba.fill-350x200.jpg, https://theodi.cdn.ngo/media/images/AdobeStock_90252961.2e16d0ba.fill-700x400.jpg 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/AdobeStock_90252961.2e16d0ba.fill-350x200.jpg" srcset="https://theodi.cdn.ngo/media/images/AdobeStock_90252961.2e16d0ba.fill-175x100.jpg 175w, https://theodi.cdn.ngo/media/images/AdobeStock_90252961.2e16d0ba.fill-350x200.jpg 350w, https://theodi.cdn.ngo/media/images/AdobeStock_90252961.2e16d0ba.fill-700x400.jpg 700w" alt="London - Palace of Westminster, UK" loading="lazy" fetchpriority="auto" decoding="async" class="" sizes="(max-width: 400px) 175px, 600px"> </picture> <div class="card__text"> <p class="card__type">Consultation response</p> <a 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11.6834 21.0976 12.3166 20.7071 12.7071L13.7071 19.7071C13.3166 20.0976 12.6834 20.0976 12.2929 19.7071C11.9024 19.3166 11.9024 18.6834 12.2929 18.2929L17.5858 13H4C3.44772 13 3 12.5523 3 12C3 11.4477 3.44772 11 4 11H17.5858L12.2929 5.70711C11.9024 5.31658 11.9024 4.68342 12.2929 4.29289Z" fill="#000000"></path> </g> </svg> </li> <li class="card-group__list-item card card--primary card--primary--orange"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/7.2_GridsFace-Orange-ArticleHeroBa.2e16d0ba.fill-350x200.png, https://theodi.cdn.ngo/media/images/7.2_GridsFace-Orange-ArticleHeroBa.2e16d0ba.fill-700x400.png 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/7.2_GridsFace-Orange-ArticleHeroBa.2e16d0ba.fill-350x200.png" srcset="https://theodi.cdn.ngo/media/images/7.2_GridsFace-Orange-ArticleHeroBa.2e16d0ba.fill-175x100.png 175w, https://theodi.cdn.ngo/media/images/7.2_GridsFace-Orange-ArticleHeroBa.2e16d0ba.fill-350x200.png 350w, https://theodi.cdn.ngo/media/images/7.2_GridsFace-Orange-ArticleHeroBa.2e16d0ba.fill-700x400.png 700w" alt="7.2 Grids+Face-Orange-ArticleHeroBanner-1110x452-ODI-Research" loading="lazy" fetchpriority="auto" decoding="async" class="" sizes="(max-width: 400px) 175px, 600px"> </picture> <div class="card__text"> <p class="card__type">Report</p> <a href="/insights/reports/democratising-access-to-data-bridging-the-data-divide-with-generative-ai-models/"> <h3 class="card__title">Democratising access to data: Bridging the data divide with generative AI models</h3> </a> </div> <svg class="right-arrow" viewBox="-2.4 -2.4 28.80 28.80" fill="none" xmlns="http://www.w3.org/2000/svg"> <g stroke-width="0"></g> <g stroke-linecap="butt" stroke-linejoin="round"></g> <g> <path fill-rule="evenodd" clip-rule="evenodd" d="M12.2929 4.29289C12.6834 3.90237 13.3166 3.90237 13.7071 4.29289L20.7071 11.2929C21.0976 11.6834 21.0976 12.3166 20.7071 12.7071L13.7071 19.7071C13.3166 20.0976 12.6834 20.0976 12.2929 19.7071C11.9024 19.3166 11.9024 18.6834 12.2929 18.2929L17.5858 13H4C3.44772 13 3 12.5523 3 12C3 11.4477 3.44772 11 4 11H17.5858L12.2929 5.70711C11.9024 5.31658 11.9024 4.68342 12.2929 4.29289Z" fill="#000000"></path> </g> </svg> </li> <li class="card-group__list-item card card--primary card--primary--pink"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/1.1_GridFace-Blue-1920x1080-ODI-Re.2e16d0ba.fill-350x200.png, https://theodi.cdn.ngo/media/images/1.1_GridFace-Blue-1920x1080-ODI-Re.2e16d0ba.fill-700x400.png 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/1.1_GridFace-Blue-1920x1080-ODI-Re.2e16d0ba.fill-350x200.png" srcset="https://theodi.cdn.ngo/media/images/1.1_GridFace-Blue-1920x1080-ODI-Re.2e16d0ba.fill-175x100.png 175w, https://theodi.cdn.ngo/media/images/1.1_GridFace-Blue-1920x1080-ODI-Re.2e16d0ba.fill-350x200.png 350w, https://theodi.cdn.ngo/media/images/1.1_GridFace-Blue-1920x1080-ODI-Re.2e16d0ba.fill-700x400.png 700w" alt="1.1 Grid+Face-Blue-1920x1080-ODI-Research" loading="lazy" fetchpriority="auto" decoding="async" class="" sizes="(max-width: 400px) 175px, 600px"> </picture> <div class="card__text"> <p class="card__type">Report</p> <a href="/insights/reports/building-a-better-future-with-data-and-ai-a-white-paper/"> <h3 class="card__title">Building a better future with data and AI: a white paper</h3> </a> </div> <svg class="right-arrow" viewBox="-2.4 -2.4 28.80 28.80" fill="none" xmlns="http://www.w3.org/2000/svg"> <g stroke-width="0"></g> <g stroke-linecap="butt" stroke-linejoin="round"></g> <g> <path fill-rule="evenodd" clip-rule="evenodd" d="M12.2929 4.29289C12.6834 3.90237 13.3166 3.90237 13.7071 4.29289L20.7071 11.2929C21.0976 11.6834 21.0976 12.3166 20.7071 12.7071L13.7071 19.7071C13.3166 20.0976 12.6834 20.0976 12.2929 19.7071C11.9024 19.3166 11.9024 18.6834 12.2929 18.2929L17.5858 13H4C3.44772 13 3 12.5523 3 12C3 11.4477 3.44772 11 4 11H17.5858L12.2929 5.70711C11.9024 5.31658 11.9024 4.68342 12.2929 4.29289Z" fill="#000000"></path> </g> </svg> </li> <li class="card-group__list-item card card--primary card--primary--blue"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/5.1_Face-Blue-ArticleHeroBanner-11.2e16d0ba.fill-350x200.png, https://theodi.cdn.ngo/media/images/5.1_Face-Blue-ArticleHeroBanner-11.2e16d0ba.fill-700x400.png 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/5.1_Face-Blue-ArticleHeroBanner-11.2e16d0ba.fill-350x200.png" srcset="https://theodi.cdn.ngo/media/images/5.1_Face-Blue-ArticleHeroBanner-11.2e16d0ba.fill-175x100.png 175w, https://theodi.cdn.ngo/media/images/5.1_Face-Blue-ArticleHeroBanner-11.2e16d0ba.fill-350x200.png 350w, https://theodi.cdn.ngo/media/images/5.1_Face-Blue-ArticleHeroBanner-11.2e16d0ba.fill-700x400.png 700w" alt="5.1 Face-Blue-ArticleHeroBanner-1110x452-ODI-Research" loading="lazy" fetchpriority="auto" decoding="async" class="" sizes="(max-width: 400px) 175px, 600px"> </picture> <div class="card__text"> <p class="card__type">Blog</p> <a href="/news-and-events/blog/policy-intervention-5-empowering-people-to-have-more-of-a-say-in-the-sharing-and-use-of-data-for-ai/"> <h3 class="card__title">Policy intervention 5: Empowering people to have more of a say in the sharing and use of data for AI</h3> </a> </div> <svg class="right-arrow" viewBox="-2.4 -2.4 28.80 28.80" fill="none" xmlns="http://www.w3.org/2000/svg"> <g stroke-width="0"></g> <g stroke-linecap="butt" stroke-linejoin="round"></g> <g> <path fill-rule="evenodd" clip-rule="evenodd" d="M12.2929 4.29289C12.6834 3.90237 13.3166 3.90237 13.7071 4.29289L20.7071 11.2929C21.0976 11.6834 21.0976 12.3166 20.7071 12.7071L13.7071 19.7071C13.3166 20.0976 12.6834 20.0976 12.2929 19.7071C11.9024 19.3166 11.9024 18.6834 12.2929 18.2929L17.5858 13H4C3.44772 13 3 12.5523 3 12C3 11.4477 3.44772 11 4 11H17.5858L12.2929 5.70711C11.9024 5.31658 11.9024 4.68342 12.2929 4.29289Z" fill="#000000"></path> </g> </svg> </li> <li class="card-group__list-item card card--primary card--primary--orange"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/9.2_Face-Orange-1920x1080-ODI-Rese.2e16d0ba.fill-350x200.png, https://theodi.cdn.ngo/media/images/9.2_Face-Orange-1920x1080-ODI-Rese.2e16d0ba.fill-700x400.png 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/9.2_Face-Orange-1920x1080-ODI-Rese.2e16d0ba.fill-350x200.png" srcset="https://theodi.cdn.ngo/media/images/9.2_Face-Orange-1920x1080-ODI-Rese.2e16d0ba.fill-175x100.png 175w, https://theodi.cdn.ngo/media/images/9.2_Face-Orange-1920x1080-ODI-Rese.2e16d0ba.fill-350x200.png 350w, https://theodi.cdn.ngo/media/images/9.2_Face-Orange-1920x1080-ODI-Rese.2e16d0ba.fill-700x400.png 700w" alt="9.2 Face-Orange-1920x1080-ODI-Research" loading="lazy" fetchpriority="auto" decoding="async" class="" sizes="(max-width: 400px) 175px, 600px"> </picture> <div class="card__text"> <p class="card__type">Blog</p> <a href="/news-and-events/blog/policy-intervention-4-ensuring-broad-access-to-data-for-training-ai-models/"> <h3 class="card__title">Policy intervention 4: Ensuring broad access to data for training AI models</h3> </a> </div> <svg class="right-arrow" viewBox="-2.4 -2.4 28.80 28.80" fill="none" xmlns="http://www.w3.org/2000/svg"> <g stroke-width="0"></g> <g stroke-linecap="butt" stroke-linejoin="round"></g> <g> <path fill-rule="evenodd" clip-rule="evenodd" d="M12.2929 4.29289C12.6834 3.90237 13.3166 3.90237 13.7071 4.29289L20.7071 11.2929C21.0976 11.6834 21.0976 12.3166 20.7071 12.7071L13.7071 19.7071C13.3166 20.0976 12.6834 20.0976 12.2929 19.7071C11.9024 19.3166 11.9024 18.6834 12.2929 18.2929L17.5858 13H4C3.44772 13 3 12.5523 3 12C3 11.4477 3.44772 11 4 11H17.5858L12.2929 5.70711C11.9024 5.31658 11.9024 4.68342 12.2929 4.29289Z" fill="#000000"></path> </g> </svg> </li> <li class="card-group__list-item card card--primary card--primary--pink"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/6.2_GridFace-Orange-1920x1080-ODI-.2e16d0ba.fill-350x200.png, https://theodi.cdn.ngo/media/images/6.2_GridFace-Orange-1920x1080-ODI-.2e16d0ba.fill-700x400.png 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/6.2_GridFace-Orange-1920x1080-ODI-.2e16d0ba.fill-350x200.png" srcset="https://theodi.cdn.ngo/media/images/6.2_GridFace-Orange-1920x1080-ODI-.2e16d0ba.fill-175x100.png 175w, https://theodi.cdn.ngo/media/images/6.2_GridFace-Orange-1920x1080-ODI-.2e16d0ba.fill-350x200.png 350w, https://theodi.cdn.ngo/media/images/6.2_GridFace-Orange-1920x1080-ODI-.2e16d0ba.fill-700x400.png 700w" alt="6.2 Grid+Face-Orange-1920x1080-ODI-Research" loading="lazy" fetchpriority="auto" decoding="async" class="" sizes="(max-width: 400px) 175px, 600px"> </picture> <div class="card__text"> <p class="card__type">Blog</p> <a href="/news-and-events/blog/policy-intervention-3-enforcing-peoples-rights-in-the-data-supply-chain/"> <h3 class="card__title">Policy intervention 3: Enforcing people’s rights in the data supply chain</h3> </a> </div> <svg class="right-arrow" viewBox="-2.4 -2.4 28.80 28.80" fill="none" xmlns="http://www.w3.org/2000/svg"> <g stroke-width="0"></g> <g stroke-linecap="butt" stroke-linejoin="round"></g> <g> <path fill-rule="evenodd" clip-rule="evenodd" d="M12.2929 4.29289C12.6834 3.90237 13.3166 3.90237 13.7071 4.29289L20.7071 11.2929C21.0976 11.6834 21.0976 12.3166 20.7071 12.7071L13.7071 19.7071C13.3166 20.0976 12.6834 20.0976 12.2929 19.7071C11.9024 19.3166 11.9024 18.6834 12.2929 18.2929L17.5858 13H4C3.44772 13 3 12.5523 3 12C3 11.4477 3.44772 11 4 11H17.5858L12.2929 5.70711C11.9024 5.31658 11.9024 4.68342 12.2929 4.29289Z" fill="#000000"></path> </g> </svg> </li> <li class="card-group__list-item card card--primary card--primary--blue"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/1.2_GridsFace-Orange-ArticleHeroBa.2e16d0ba.fill-350x200.png, https://theodi.cdn.ngo/media/images/1.2_GridsFace-Orange-ArticleHeroBa.2e16d0ba.fill-700x400.png 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/1.2_GridsFace-Orange-ArticleHeroBa.2e16d0ba.fill-350x200.png" srcset="https://theodi.cdn.ngo/media/images/1.2_GridsFace-Orange-ArticleHeroBa.2e16d0ba.fill-175x100.png 175w, https://theodi.cdn.ngo/media/images/1.2_GridsFace-Orange-ArticleHeroBa.2e16d0ba.fill-350x200.png 350w, https://theodi.cdn.ngo/media/images/1.2_GridsFace-Orange-ArticleHeroBa.2e16d0ba.fill-700x400.png 700w" alt="1.2 Grids+Face-Orange-ArticleHeroBanner-1110x452-ODI-Research" loading="lazy" fetchpriority="auto" decoding="async" class="" sizes="(max-width: 400px) 175px, 600px"> </picture> <div class="card__text"> <p class="card__type">Blog</p> <a href="/news-and-events/blog/policy-intervention-2-update-our-intellectual-property-regime-to-ensure-ai-models-are-trained-fairly/"> <h3 class="card__title">Policy intervention 2: Update our intellectual property regime to ensure AI models are trained fairly</h3> </a> </div> <svg class="right-arrow" viewBox="-2.4 -2.4 28.80 28.80" fill="none" xmlns="http://www.w3.org/2000/svg"> <g stroke-width="0"></g> <g stroke-linecap="butt" stroke-linejoin="round"></g> <g> <path fill-rule="evenodd" clip-rule="evenodd" d="M12.2929 4.29289C12.6834 3.90237 13.3166 3.90237 13.7071 4.29289L20.7071 11.2929C21.0976 11.6834 21.0976 12.3166 20.7071 12.7071L13.7071 19.7071C13.3166 20.0976 12.6834 20.0976 12.2929 19.7071C11.9024 19.3166 11.9024 18.6834 12.2929 18.2929L17.5858 13H4C3.44772 13 3 12.5523 3 12C3 11.4477 3.44772 11 4 11H17.5858L12.2929 5.70711C11.9024 5.31658 11.9024 4.68342 12.2929 4.29289Z" fill="#000000"></path> </g> </svg> </li> <li class="card-group__list-item card card--primary card--primary--orange"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/15.1_GridsFace-Blue-ArticleHeroBan.2e16d0ba.fill-350x200.png, https://theodi.cdn.ngo/media/images/15.1_GridsFace-Blue-ArticleHeroBan.2e16d0ba.fill-700x400.png 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/15.1_GridsFace-Blue-ArticleHeroBan.2e16d0ba.fill-350x200.png" srcset="https://theodi.cdn.ngo/media/images/15.1_GridsFace-Blue-ArticleHeroBan.2e16d0ba.fill-175x100.png 175w, https://theodi.cdn.ngo/media/images/15.1_GridsFace-Blue-ArticleHeroBan.2e16d0ba.fill-350x200.png 350w, https://theodi.cdn.ngo/media/images/15.1_GridsFace-Blue-ArticleHeroBan.2e16d0ba.fill-700x400.png 700w" alt="15.1 Grids+Face-Blue-ArticleHeroBanner-1110x452-ODI-Research" loading="lazy" fetchpriority="auto" decoding="async" class="" sizes="(max-width: 400px) 175px, 600px"> </picture> <div class="card__text"> <p class="card__type">Blog</p> <a href="/news-and-events/blog/policy-intervention-1-increase-transparency-around-the-data-used-to-train-ai-models/"> <h3 class="card__title">Policy intervention 1: Increase transparency around the data used to train AI models</h3> </a> </div> <svg class="right-arrow" viewBox="-2.4 -2.4 28.80 28.80" fill="none" xmlns="http://www.w3.org/2000/svg"> <g stroke-width="0"></g> <g stroke-linecap="butt" stroke-linejoin="round"></g> <g> <path fill-rule="evenodd" clip-rule="evenodd" d="M12.2929 4.29289C12.6834 3.90237 13.3166 3.90237 13.7071 4.29289L20.7071 11.2929C21.0976 11.6834 21.0976 12.3166 20.7071 12.7071L13.7071 19.7071C13.3166 20.0976 12.6834 20.0976 12.2929 19.7071C11.9024 19.3166 11.9024 18.6834 12.2929 18.2929L17.5858 13H4C3.44772 13 3 12.5523 3 12C3 11.4477 3.44772 11 4 11H17.5858L12.2929 5.70711C11.9024 5.31658 11.9024 4.68342 12.2929 4.29289Z" fill="#000000"></path> </g> </svg> </li> <li class="card-group__list-item card card--primary card--primary--pink"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/20._Graphic-only-1920x1080-ODI-Res.2e16d0ba.fill-350x200.png, https://theodi.cdn.ngo/media/images/20._Graphic-only-1920x1080-ODI-Res.2e16d0ba.fill-700x400.png 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/20._Graphic-only-1920x1080-ODI-Res.2e16d0ba.fill-350x200.png" srcset="https://theodi.cdn.ngo/media/images/20._Graphic-only-1920x1080-ODI-Res.2e16d0ba.fill-175x100.png 175w, https://theodi.cdn.ngo/media/images/20._Graphic-only-1920x1080-ODI-Res.2e16d0ba.fill-350x200.png 350w, https://theodi.cdn.ngo/media/images/20._Graphic-only-1920x1080-ODI-Res.2e16d0ba.fill-700x400.png 700w" alt="20. Graphic-only-1920x1080-ODI-Research" loading="lazy" fetchpriority="auto" decoding="async" class="" sizes="(max-width: 400px) 175px, 600px"> </picture> <div class="card__text"> <p class="card__type">Blog</p> <a href="/news-and-events/blog/what-do-we-mean-by-without-data-there-is-no-ai/"> <h3 class="card__title">What do we mean by “without data, there is no AI”?</h3> </a> </div> <svg class="right-arrow" viewBox="-2.4 -2.4 28.80 28.80" fill="none" xmlns="http://www.w3.org/2000/svg"> <g stroke-width="0"></g> <g stroke-linecap="butt" stroke-linejoin="round"></g> <g> <path fill-rule="evenodd" clip-rule="evenodd" d="M12.2929 4.29289C12.6834 3.90237 13.3166 3.90237 13.7071 4.29289L20.7071 11.2929C21.0976 11.6834 21.0976 12.3166 20.7071 12.7071L13.7071 19.7071C13.3166 20.0976 12.6834 20.0976 12.2929 19.7071C11.9024 19.3166 11.9024 18.6834 12.2929 18.2929L17.5858 13H4C3.44772 13 3 12.5523 3 12C3 11.4477 3.44772 11 4 11H17.5858L12.2929 5.70711C11.9024 5.31658 11.9024 4.68342 12.2929 4.29289Z" fill="#000000"></path> </g> </svg> </li> </ul> </div> </section> <div class="people-block contained-width"> <h3 class="people-block__block-title">Meet the project team</h3> <ul class="people-block__list grid--3-col"> <li class="people-block__list-item"> <div class="people-block__photo-container"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/odi_bio.2e16d0ba.fill-347x347.jpg, https://theodi.cdn.ngo/media/images/odi_bio.2e16d0ba.fill-694x694.jpg 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/odi_bio.2e16d0ba.fill-347x347.jpg" srcset="https://theodi.cdn.ngo/media/images/odi_bio.2e16d0ba.fill-173x173.jpg 173w, https://theodi.cdn.ngo/media/images/odi_bio.2e16d0ba.fill-347x347.jpg 347w, https://theodi.cdn.ngo/media/images/odi_bio.2e16d0ba.fill-694x694.jpg 694w" alt="Arunav Das" loading="lazy" fetchpriority="auto" decoding="async" class="people-block__photo" sizes="(max-width: 400px) 173px, 600px"> </picture> </div> <p class="people-block__name"> <a href="/profile/arunav-das/" class="people-block__name-link"> Arunav Das </a> </p> <p class="people-block__title">Research Fellow</p> <div class="people-block__bio"><p data-block-key="qvfbw">Arunav Das is a Research Fellow at the ODI and a PhD Researcher at King's College London</p></div> </li> <li class="people-block__list-item"> <div class="people-block__photo-container"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/ID-Photo-2-Thomas-Carey-Wilson.2e16d0ba.fill-347x347.jpg, https://theodi.cdn.ngo/media/images/ID-Photo-2-Thomas-Carey-Wilson.2e16d0ba.fill-694x694.jpg 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/ID-Photo-2-Thomas-Carey-Wilson.2e16d0ba.fill-347x347.jpg" srcset="https://theodi.cdn.ngo/media/images/ID-Photo-2-Thomas-Carey-Wilson.2e16d0ba.fill-173x173.jpg 173w, https://theodi.cdn.ngo/media/images/ID-Photo-2-Thomas-Carey-Wilson.2e16d0ba.fill-347x347.jpg 347w, https://theodi.cdn.ngo/media/images/ID-Photo-2-Thomas-Carey-Wilson.2e16d0ba.fill-694x694.jpg 694w" alt="Thomas Carey-Wilson" loading="lazy" fetchpriority="auto" decoding="async" class="people-block__photo" sizes="(max-width: 400px) 173px, 600px"> </picture> </div> <p class="people-block__name"> <a href="/profile/thomas-carey-wilson/" class="people-block__name-link"> Thomas Carey-Wilson </a> </p> <p class="people-block__title">Researcher</p> <div class="people-block__bio"><p data-block-key="8kwjg">Thomas works within the Research team exploring data governance practices throughout the AI data lifecycle.</p></div> </li> <li class="people-block__list-item"> <div class="people-block__photo-container"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/Joe-Massey-BW-scaled.2e16d0ba.fill-347x347.jpg, https://theodi.cdn.ngo/media/images/Joe-Massey-BW-scaled.2e16d0ba.fill-694x694.jpg 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/Joe-Massey-BW-scaled.2e16d0ba.fill-347x347.jpg" srcset="https://theodi.cdn.ngo/media/images/Joe-Massey-BW-scaled.2e16d0ba.fill-173x173.jpg 173w, https://theodi.cdn.ngo/media/images/Joe-Massey-BW-scaled.2e16d0ba.fill-347x347.jpg 347w, https://theodi.cdn.ngo/media/images/Joe-Massey-BW-scaled.2e16d0ba.fill-694x694.jpg 694w" alt="Joe Massey BW" loading="lazy" fetchpriority="auto" decoding="async" class="people-block__photo" sizes="(max-width: 400px) 173px, 600px"> </picture> </div> <p class="people-block__name"> <a href="/profile/joe-massey/" class="people-block__name-link"> Joe Massey </a> </p> <p class="people-block__title">Senior Researcher</p> <div class="people-block__bio"><p data-block-key="mg87y">Joe is a Senior Researcher in the R&D team, and is currently focusing on the sustainable data access project.</p></div> </li> <li class="people-block__list-item"> <div class="people-block__photo-container"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/WhatsApp-Image-2023-07-11-at-14.29.2e16d0ba.fill-347x347.jpg, https://theodi.cdn.ngo/media/images/WhatsApp-Image-2023-07-11-at-14.29.2e16d0ba.fill-694x694.jpg 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/WhatsApp-Image-2023-07-11-at-14.29.2e16d0ba.fill-347x347.jpg" srcset="https://theodi.cdn.ngo/media/images/WhatsApp-Image-2023-07-11-at-14.29.2e16d0ba.fill-173x173.jpg 173w, https://theodi.cdn.ngo/media/images/WhatsApp-Image-2023-07-11-at-14.29.2e16d0ba.fill-347x347.jpg 347w, https://theodi.cdn.ngo/media/images/WhatsApp-Image-2023-07-11-at-14.29.2e16d0ba.fill-694x694.jpg 694w" alt="Ben Snaith 2023" loading="lazy" fetchpriority="auto" decoding="async" class="people-block__photo" sizes="(max-width: 400px) 173px, 600px"> </picture> </div> <p class="people-block__name"> <a href="/profile/ben-snaith/" class="people-block__name-link"> Ben Snaith </a> </p> <p class="people-block__title">Senior Researcher</p> <div class="people-block__bio"><p data-block-key="rltjt">Ben is a Senior Researcher at the ODI.</p></div> </li> <li class="people-block__list-item"> <div class="people-block__photo-container"> <picture> <source srcset="https://theodi.cdn.ngo/media/images/Elena-Simperl-bw-500x500-1.2e16d0ba.fill-347x347.png, https://theodi.cdn.ngo/media/images/Elena-Simperl-bw-500x500-1.2e16d0ba.fill-694x694.png 2x" media="(min-width: 800px)"> <img src="https://theodi.cdn.ngo/media/images/Elena-Simperl-bw-500x500-1.2e16d0ba.fill-347x347.png" srcset="https://theodi.cdn.ngo/media/images/Elena-Simperl-bw-500x500-1.2e16d0ba.fill-173x173.png 173w, https://theodi.cdn.ngo/media/images/Elena-Simperl-bw-500x500-1.2e16d0ba.fill-347x347.png 347w, https://theodi.cdn.ngo/media/images/Elena-Simperl-bw-500x500-1.2e16d0ba.fill-694x694.png 694w" alt="Image of Elena Simperl" loading="lazy" fetchpriority="auto" decoding="async" class="people-block__photo" sizes="(max-width: 400px) 173px, 600px"> </picture> </div> <p 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