AI, Labor, and the Economy - Partnership on AI

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src="https://unpkg.com/just-validate@latest/dist/just-validate.production.min.js?ver=6.7.1" id="just-validate-js"></script>   <script data-cfasync="false" data-pagespeed-no-defer type="text/javascript"> var dataLayer_content = {"visitorLoginState":"logged-out","visitorType":"visitor-logged-out","pagePostType":"program","pagePostType2":"single-program","pagePostAuthor":"Neil Uhl","pagePostDate":"July 8, 2021","pagePostDateYear":2021,"pagePostDateMonth":7,"pagePostDateDay":8,"pagePostDateDayName":"Thursday","pagePostDateHour":11,"pagePostDateMinute":13,"pagePostDateIso":"2021-07-08T11:13:34-05:00","pagePostDateUnix":1625742814,"pagePostTerms":{"meta":{"inline_featured_image":0,"full_text_search":"AI, Labor, and the Economy Sign-up to receive updates on this and other PAI Programs. overview PAI believes that AI has tremendous potential to solve major societal problems and make peoples’ lives better. At the same time, individuals and organizations must grapple with new forms of automation, wealth distribution, and economic decision-making. Whether AI promotes equality or increases injustice, whether it makes all of us richer or the poor poorer is a choice we, as a world, must consciously make. To advance a beneficial economic future from AI, the AI, Labor, and the Economy Program gathers Partner organizations, economists, and worker representative organizations. Together, these actors work to form shared answers and recommendations for actionable steps that need to be taken to ensure AI supports an inclusive economic future.   Guidelines for AI and Shared Prosperity Explore PAI's Guidelines for AI and Shared Prosperity: tools to design and deploy AI systems in service of workers' rights and well-being.   testimonials TESTIMONIALS “It is my privilege to be part of PAI’s thoughtful effort in bringing diverse voices and fostering robust debate so that we are deliberate about ensuring that one of the most transformative technologies of our times truly benefits the many, and not just the few.” Rahul Panicker Principal Technologist and Advisor to CTO, Vicarious “Getting the most out of big data depends on recognizing how dependent we are on workers--often temporary, working offsite--who clean, structure, and manage datasets. The future of advancing AI hinges on investing in work conditions that enhance rather than undermine how data are handled. I’m glad to see PAI’s initiative calling on AI organizations to firmly commit to this vision of responsible tech in all their data pipeline decisions.” Mary Gray Senior Principal Researcher, Microsoft Research & Author of Ghost Work \"The AI and Shared Prosperity Initiative and the Boston Review have brought together an amazing multidisciplinary group of thinkers to reflect on how to address the urgent risks the current direction of AI technologies are creating. Most importantly, these risks include displacing more and more workers from their jobs, exacerbating inequality and creating new hierarchies in society. We are not powerless against these trends. As we’ve seen with green energy technologies, concerted efforts, public pressure and shifting norms can lead to better technological options becoming available. The trajectory of AI is not preordained: it can be used to complement humans, make them more productive, expand access to good jobs and more generally empower all groups of people.\" Daron Acemoglu Institute Professor of Economics at MIT \"As we wrote in the Boston Review essay, technologies for monitoring and control are being turned against working people in low-wage jobs, resulting in an unnecessarily punitive and brutal workplace. Unless we come together to act, AI will only accelerate these extractive and crushing conditions—concentrating wealth at the very top. The Agenda is an urgent call to center these concerns in the development and deployment of AI.\" Ryan Gerety and Andrea Dehlendorf United for Respect \"One of the key takeaways for me from this work is how both public markets (eg, with generally higher price to earnings for software business vs service businesses) and government tax structures (eg, with preferential rates for capital gains vs wages or r&d credits for software) incentivize corporations to invest in automation vs build businesses that depend on labor and create good jobs. I hope policymakers take note.\" Andrew Kortina Co-founder of Venmo.com and Fin.com \"Changing the direction of AI from human\/machine competition to human\/machine collaboration is a difficult challenge. AI systems would need to be designed to perceive and understand human intentions and communicate interactively to serve as aids to human workers, but the payoff would be worth it, giving rise to higher value, more scalable and adaptive AI systems, and better and more inclusive economic outcomes in the long run. AI’s current focus on competing with humans is alarming but not the only one possible: the AI and Shared Prosperity Initiative’s Agenda and the latest Boston Review issue suggest concrete steps the industry can take to modify its approach.\" Lama Nachman Intel Fellow and Director of Anticipatory Computing Lab at Intel ourwork Our AI, Labor, and the Economy Work To chart a course where AI’s economic benefits don’t enrich the few at the expense of the many, 23 notable thinkers from around the globe were brought together virtually in the fall of 2020 to form the AI and Shared Prosperity Initiative's Steering Committee, identifying major topics of study for this emerging discipline of responsible AI. Based on these deliberations, the AI, Labor, and the Economy Program released “Redesigning AI for Shared Prosperity: an Agenda” in May 2021, outlining practical questions stakeholders need to collectively find answers to in order to successfully steer AI toward expanding access to good jobs—and away from eliminating them. More recently, the Program released a whitepaper outlining recommendations for improving the labor conditions within AI development itself, specifically those of the professionals who clean and label training data or otherwise contribute human judgment to AI systems. Drawing on insights from a workshop series that brought together over 30 professionals from different areas of the data enrichment ecosystem, “Responsible Sourcing of Data Enrichment Services” highlights how specific decisions made by stakeholders within AI companies impact the working conditions, well-being, and livelihoods of data enrichment professionals. updates Updates programworkstream Program Workstreams","program_term_id":177,"author":""}}}; dataLayer.push( dataLayer_content ); </script> <script data-cfasync="false"> (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start': new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0], j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src= '//www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f); })(window,document,'script','dataLayer','GTM-NJM6QZFH'); </script> <meta name="twitter:label1" content="Written by"><meta name="twitter:data1" content=""><style type="text/css">.recentcomments a{display:inline !important;padding:0 !important;margin:0 !important;}</style><link rel="icon" href="https://partnershiponai.org/wp-content/uploads/2021/08/PAI-Favicon.png" sizes="32x32" /> <link rel="icon" href="https://partnershiponai.org/wp-content/uploads/2021/08/PAI-Favicon.png" sizes="192x192" /> <link rel="apple-touch-icon" href="https://partnershiponai.org/wp-content/uploads/2021/08/PAI-Favicon.png" /> <meta name="msapplication-TileImage" content="https://partnershiponai.org/wp-content/uploads/2021/08/PAI-Favicon.png" /> <style type="text/css" id="wp-custom-css"> .accordion-header {line-height: 1.3em; 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Sign up for a ";} .signup-box:after {content: " for more insights.";} /* callout boxes */ .callouthead-define, .callouthead-quickguide, .callouthead-interventions, .callouthead-questions, .callouthead-sidenote, .callouthead-actions, .callouthead-limitations, .callouthead-recommendations, .callouthead-whitenote { padding: 10px 20px 5px 20px; border-radius: 10px 10px 0px 0px; } .callouthead-define { background-color: #82b1ef; } .callouthead-quickguide { background-color: #EC9982; } .callouthead-interventions { background-color: #f2ca85; margin-top: 2em; } .callouthead-questions { background-color: #969797; color: FFF; } .callouthead-sidenote { background-color: #0757c3; color: #FFF; } .callouthead-actions { background-color: #EC9982; } .callouthead-limitations, .callouthead-recommendations { background-color: #82b1ef; } .callouthead-whitenote { background-color: #f6f6f6; font-family: "Karla"; color: #0757c3; text-transform: uppercase; letter-spacing: 0.1em; font-size: 0.7em; font-weight: 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class="wysiwyg-container bg-img without-background-img" style="background-image:url();"> <div class="blue-overlay-opacity" style="opacity: 1;"></div> <div class="container"> <div class="wysiwyg-content"> <div class="program-breadcrumb"> <ul> <li><a href="https://partnershiponai.org/work/">Our Work</a><span> / </span></li> </ul> </div> <h1>AI, Labor, and the Economy</h1> </div> </div> </div> <div class="oval-wrapper"> <span class="circle dark-coral"></span> <span class="circle coral"></span> </div> </div> </div></div> <div class="container main-content-wrapper page-content-width"> <div class="main-left-content"> <nav class="main-sidebar"> <div class="menu"> <ul> <li><a data-go-to-anchor="#overview" href="#overview">Overview</a></li> <li><a data-go-to-anchor="#testimonials" href="#testimonials">Testimonials</a></li> <li><a data-go-to-anchor="#ourwork" href="#ourwork">Our AI, Labor, and the Economy Work</a></li> <li><a data-go-to-anchor="#updates" href="#updates">Updates </a></li> <li><a data-go-to-anchor="#programworkstream" href="#programworkstream">Program Workstreams</a></li> </ul> </div> <div class="form-block"> <p>Sign-up to receive updates on this and other PAI Programs.<br /> <a target="_blank" href='https://partnershiponai.org/stay-connected-with-pai/' class='btn coral large'>STAY INFORMED</a></p> </div> </nav> </div>  <div class="page-content-container"> <div class="content"> <main class="main content-wrapper-wp-frontend">   <div class="page-row row-transparent page-row-wp-frontend" > <div class="container">  <div class="anchor-module-container" id="overview" data-anchor="overview"></div> <div class="module wysiwyg-module "> <div class="container "> <div class="wysiwyg-content col-lg-12 col-md-12 "> <h2 style="text-align: left;"><h3 class="paper-page-anchor" id="overview">Overview</h3></h2> <p>PAI believes that AI has tremendous potential to solve major societal problems and make peoples’ lives better. At the same time, individuals and organizations must grapple with new forms of automation, wealth distribution, and economic decision-making. Whether AI promotes equality or increases injustice, whether it makes all of us richer or the poor poorer is a choice we, as a world, must consciously make.</span></p> <p>To advance a beneficial economic future from AI, the AI, Labor, and the Economy Program gathers Partner organizations, economists, and worker representative organizations. Together, these actors work to form shared answers and recommendations for actionable steps that need to be taken to ensure AI supports an inclusive economic future.</span></p> </div> </div> </div> <div class="module wysiwyg-module "> <div class="container "> <div class="wysiwyg-content col-lg-12 col-md-12 "> <p> </p> <div class="billboard"> <div class="row"> <div class="col-sm-12 col-md-3"><a href="https://partnershiponai.org/paper/shared-prosperity/"><img fetchpriority="high" decoding="async" class="alignleft wp-image-10193 size-full" src="https://partnershiponai.org/wp-content/uploads/2021/07/SPI-guidelines-circle.png" alt="" width="942" height="942" srcset="https://partnershiponai.org/wp-content/uploads/2021/07/SPI-guidelines-circle.png 942w, https://partnershiponai.org/wp-content/uploads/2021/07/SPI-guidelines-circle-300x300.png 300w, https://partnershiponai.org/wp-content/uploads/2021/07/SPI-guidelines-circle-150x150.png 150w, https://partnershiponai.org/wp-content/uploads/2021/07/SPI-guidelines-circle-768x768.png 768w, https://partnershiponai.org/wp-content/uploads/2021/07/SPI-guidelines-circle-80x80.png 80w" sizes="(max-width: 942px) 100vw, 942px" /></a></div> <div class="col-sm-12 col-md-1"></div> <div class="col-sm-12 col-md-8"> <h3 class="whitetext">Guidelines for AI and Shared Prosperity</h3> <div class="medium-description whitetext" style="margin-top: 0.5em; font-weight: 100;">Explore PAI’s Guidelines for AI and Shared Prosperity: tools to design and deploy AI systems in service of workers’ rights and well-being.</div> <div><a href='https://partnershiponai.org/paper/shared-prosperity/' class='btn coral small'>Explore the Guidelines</a></div> </div> </div> </div> <p> </p> </div> </div> </div> <div class="anchor-module-container" id="testimonials" data-anchor="testimonials"></div> <div class="module wysiwyg-module "> <div class="container "> <div class="wysiwyg-content col-lg-12 col-md-12 "> <h3><h3 class="paper-page-anchor" data-sublevel="2" id="testimonials">Testimonials</h3></h3> </div> </div> </div> <div class="testimonial_carousel module "> <div class="container"> <div class="testimonial_carousel_container"> <div class="slides splide content-splide"> <div class="splide__arrows row"> <div class="col-md-12"> <div class="arrows"> <button class="splide__arrow splide__arrow--prev"> <svg xmlns="http://www.w3.org/2000/svg" fill="#000" height="1792" viewBox="0 0 1792 1792" width="1792"><path d="M1363 877l-742 742q-19 19-45 19t-45-19l-166-166q-19-19-19-45t19-45l531-531-531-531q-19-19-19-45t19-45L531 45q19-19 45-19t45 19l742 742q19 19 19 45t-19 45z"/></svg> </button> <h2>TESTIMONIALS</h2> <button class="splide__arrow splide__arrow--next"> <svg xmlns="http://www.w3.org/2000/svg" fill="#000" height="1792" viewBox="0 0 1792 1792" width="1792"><path d="M1363 877l-742 742q-19 19-45 19t-45-19l-166-166q-19-19-19-45t19-45l531-531-531-531q-19-19-19-45t19-45L531 45q19-19 45-19t45 19l742 742q19 19 19 45t-19 45z"/></svg> </button> </div> </div> </div> <div class="splide__track"> <div class="splide__list"> <div class="slide splide__slide dot-type-"> <div class="testimonial_container row"> <div class="col-12 col-md-12"> <div class="testimonial_content"><p>“It is my privilege to be part of PAI’s thoughtful effort in bringing diverse voices and fostering robust debate so that we are deliberate about ensuring that one of the most transformative technologies of our times truly benefits the many, and not just the few.”</p> </div> <div class="author_meta"> <span class="author_name">Rahul Panicker</span> <span class="author_designation">Principal Technologist and Advisor to CTO, Vicarious</span> </div> </div> </div> </div> <div class="slide splide__slide dot-type-"> <div class="testimonial_container row"> <div class="col-12 col-md-12"> <div class="testimonial_content"><p>“Getting the most out of big data depends on recognizing how dependent we are on workers–often temporary, working offsite–who clean, structure, and manage datasets. The future of advancing AI hinges on investing in work conditions that enhance rather than undermine how data are handled. I’m glad to see PAI’s initiative calling on AI organizations to firmly commit to this vision of responsible tech in all their data pipeline decisions.”</p> </div> <div class="author_meta"> <span class="author_name">Mary Gray</span> <span class="author_designation">Senior Principal Researcher, Microsoft Research & Author of Ghost Work</span> </div> </div> </div> </div> <div class="slide splide__slide dot-type-"> <div class="testimonial_container row"> <div class="col-12 col-md-12"> <div class="testimonial_content"><p>“The <a href="https://partnershiponai.org/workstream/shared-prosperity/#agenda">AI and Shared Prosperity Initiative</a> and the <a href="https://bostonreview.net/forum/science-nature/daron-acemoglu-redesigning-ai">Boston Review</a> have brought together an amazing multidisciplinary group of thinkers to reflect on how to address the urgent risks the current direction of AI technologies are creating. Most importantly, these risks include displacing more and more workers from their jobs, exacerbating inequality and creating new hierarchies in society. We are not powerless against these trends. As we’ve seen with green energy technologies, concerted efforts, public pressure and shifting norms can lead to better technological options becoming available. The trajectory of AI is not preordained: it can be used to complement humans, make them more productive, expand access to good jobs and more generally empower all groups of people.”</p> </div> <div class="author_meta"> <span class="author_name">Daron Acemoglu</span> <span class="author_designation">Institute Professor of Economics at MIT </span> </div> </div> </div> </div> <div class="slide splide__slide dot-type-"> <div class="testimonial_container row"> <div class="col-12 col-md-12"> <div class="testimonial_content"><p>“As we wrote in the <a href="https://bostonreview.net/forum/science-nature/daron-acemoglu-redesigning-ai">Boston Review</a> essay, technologies for monitoring and control are being turned against working people in low-wage jobs, resulting in an unnecessarily punitive and brutal workplace. Unless we come together to act, AI will only accelerate these extractive and crushing conditions—concentrating wealth at the very top. The <a href="https://partnershiponai.org/workstream/shared-prosperity/#agenda">Agenda</a> is an urgent call to center these concerns in the development and deployment of AI.”</p> </div> <div class="author_meta"> <span class="author_name">Ryan Gerety and Andrea Dehlendorf</span> <span class="author_designation">United for Respect</span> </div> </div> </div> </div> <div class="slide splide__slide dot-type-"> <div class="testimonial_container row"> <div class="col-12 col-md-12"> <div class="testimonial_content"><p>“One of the key takeaways for me from this work is how both public markets (eg, with generally higher price to earnings for software business vs service businesses) and government tax structures (eg, with preferential rates for capital gains vs wages or r&d credits for software) incentivize corporations to invest in automation vs build businesses that depend on labor and create good jobs. I hope policymakers take note.”</p> </div> <div class="author_meta"> <span class="author_name">Andrew Kortina</span> <span class="author_designation">Co-founder of Venmo.com and Fin.com</span> </div> </div> </div> </div> <div class="slide splide__slide dot-type-"> <div class="testimonial_container row"> <div class="col-12 col-md-12"> <div class="testimonial_content"><p>“Changing the direction of AI from human/machine competition to human/machine collaboration is a difficult challenge. AI systems would need to be designed to perceive and understand human intentions and communicate interactively to serve as aids to human workers, but the payoff would be worth it, giving rise to higher value, more scalable and adaptive AI systems, and better and more inclusive economic outcomes in the long run. AI’s current focus on competing with humans is alarming but not the only one possible: the <a href="https://partnershiponai.org/workstream/shared-prosperity/#agenda">AI and Shared Prosperity Initiative’s Agenda</a> and the latest <a href="https://bostonreview.net/forum/science-nature/daron-acemoglu-redesigning-ai">Boston Review</a> issue suggest concrete steps the industry can take to modify its approach.”</p> </div> <div class="author_meta"> <span class="author_name">Lama Nachman</span> <span class="author_designation">Intel Fellow and Director of Anticipatory Computing Lab at Intel</span> </div> </div> </div> </div> </div> </div> </div> <div class="slides splide image-splide"> <div class="splide__track"> <div class="splide__list"> <div class="slide splide__slide dot-type-"> </div> <div class="slide splide__slide dot-type-"> </div> <div class="slide splide__slide dot-type-"> </div> <div class="slide splide__slide dot-type-"> </div> <div class="slide splide__slide dot-type-"> </div> <div class="slide splide__slide dot-type-"> </div> </div> </div> </div> </div> </div> </div> <div class="anchor-module-container" id="ourwork" data-anchor="ourwork"></div> <div class="module wysiwyg-module "> <div class="container "> <div class="wysiwyg-content col-lg-12 col-md-12 "> <h2 style="text-align: left;">Our AI, Labor, and the Economy Work</h2> <p>To chart a course where AI’s economic benefits don’t enrich the few at the expense of the many, 23 notable thinkers from around the globe were brought together virtually in the fall of 2020 to form the <a href="https://new.partnershiponai.org/workstream/ai-and-shared-prosperity-initiative/#steeringcommittee">AI and Shared Prosperity Initiative’s Steering Committee</a>, identifying major topics of study for this emerging discipline of responsible AI. Based on these deliberations, the AI, Labor, and the Economy Program released “<a href="https://partnershiponai.org/paper/redesigning-ai-agenda/">Redesigning AI for Shared Prosperity: an Agenda</a>” in May 2021, outlining practical questions stakeholders need to collectively find answers to in order to successfully steer AI toward expanding access to good jobs—and away from eliminating them.</p> <p>More recently, the Program released a <a href="https://new.partnershiponai.org/workstream/responsible-sourcing-across-the-data-supply-line/">whitepaper</a> outlining recommendations for improving the labor conditions within AI development itself, specifically those of the professionals who clean and label training data or otherwise contribute human judgment to AI systems. Drawing on insights from a workshop series that brought together over 30 professionals from different areas of the data enrichment ecosystem, “Responsible Sourcing of Data Enrichment Services” highlights how specific decisions made by stakeholders within AI companies impact the working conditions, well-being, and livelihoods of data enrichment professionals.</p> </div> </div> </div> <div class="anchor-module-container" id="updates" data-anchor="updates"></div> <div class="latest_card_carousel module " slider-config="{"perPage":4,"autoplay":true}"> <div class="container"> <div class="module-header"> <div class="module_title_container"> <h2 class="text-left title">Updates </h2> <div class="arrows-container header-arrows"> <div class="splide__arrows"> <button class="splide__arrow splide__arrow--prev"><svg xmlns="http://www.w3.org/2000/svg" fill="#000" height="1792" viewBox="0 0 1792 1792" width="1792"><path d="M1363 877l-742 742q-19 19-45 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sm-text">Blog</span> </div> <div class="content_block">  <span class="program sm-text">AI, Labor, and the Economy/Promoting Workforce Well-being in the AI-Integrated Workplace</span> <h6>Prioritizing Workers in the US Global AI Research Agenda</h6> <p class="post_excerpt"> </p> </div> <div class="author_info"> <img decoding="async" src="https://partnershiponai.org/wp-content/uploads/2021/06/logotype_2.svg" alt="" class="author_photo" loading="lazy"> <div class="author_meta sm-text"> <span class="author_name">Thalia Khan, Eliza McCullough, Sonam Jindal, Stephanie Bell</span> <span class="posted_at">Oct 24, 2024</span> </div>  </div> </a> </div> <div class="slide splide__slide"> <a class="post-card" href="https://partnershiponai.org/protecting-ais-essential-workers-introducing-our-vendor-engagement-guidance-transparency-template/" target="_self" > <div class="featured_image"> <img decoding="async" src="https://partnershiponai.org/wp-content/uploads/2024/08/data-work-conveyor-belt-2080x960-1.png" class="featured-img" loading="lazy"> <span class="content_type sm-text">Blog</span> </div> <div class="content_block">  <span class="program sm-text">AI, Labor, and the Economy/Responsible Sourcing Across the Data Supply Line</span> <h6>Protecting AI’s Essential Workers: Introducing our Vendor Engagement Guidance & Transparency Template</h6> <p class="post_excerpt"> </p> </div> <div class="author_info"> <img decoding="async" src="https://partnershiponai.org/wp-content/uploads/2024/10/DSCF4369-scaled-e1728594269190.jpg" alt="" class="author_photo" loading="lazy"> <div class="author_meta sm-text"> <span class="author_name">Sonam Jindal</span> <span class="posted_at">Aug 28, 2024</span> </div>  </div> </a> </div> <div class="slide splide__slide"> <a class="post-card" href="https://partnershiponai.org/protecting-ais-essential-workers-a-pathway-to-responsible-data-enrichment-practices/" target="_self" > <div class="featured_image"> <img decoding="async" src="https://partnershiponai.org/wp-content/uploads/2024/07/data-annotation-1800x832-1.png" class="featured-img" loading="lazy"> <span class="content_type sm-text">Blog</span> </div> <div class="content_block">  <span class="program sm-text">AI, Labor, and the Economy/Responsible Sourcing Across the Data Supply Line</span> <h6>Protecting AI’s Essential Workers: A Pathway to Responsible Data Enrichment Practices</h6> <p class="post_excerpt"> </p> </div> <div class="author_info"> <img decoding="async" src="https://partnershiponai.org/wp-content/uploads/2024/10/DSCF4369-scaled-e1728594269190.jpg" alt="" class="author_photo" loading="lazy"> <div class="author_meta sm-text"> <span class="author_name">Sonam Jindal</span> <span class="posted_at">Jul 30, 2024</span> </div>  </div> </a> </div> <div class="slide splide__slide"> <a class="post-card" href="https://partnershiponai.org/paper/shared-prosperity/" target="_self" > <div 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