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It raises two public questions: what fairness looks like when computers influence decision-making, and who creates the future while ensuring diverse communities and social dynamics are reflected. The booklet emphasizes that AI impacts everyone, with heightened risk for low-income communities and people of color, and frames equity as beginning with education and critical understanding.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/a-peoples-guide-to-ai-ai-and-equity/605334/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/a-peoples-guide-to-ai-ai-and-equity/605334.png","ImageObject",300,407,{"name":92,"@type":93},"Lucas Martin","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-20","2026-10-16",true,{"@type":102,"interactionType":103,"userInteractionCount":14},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why does the guide say AI is part of everyday life?","Question",{"text":112,"@type":113},"It explains that AI appears in common activities like typing messages and in serious situations such as decisions about crime risk.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What fairness questions does the guide emphasize?",{"text":117,"@type":113},"It asks what fairness looks like when computers shape decisions and how to ensure future creators reflect diverse communities and social realities.",{"name":119,"@type":110,"acceptedAnswer":120},"Who is most at risk from the consequences of AI, according to the guide?",{"text":121,"@type":113},"It highlights traditionally disadvantaged groups, especially low-income communities and people of color, who may not be widely included in current AI conversations.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},605334,1792477961,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":14,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":16,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144},8796095360427,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","ARTIFICIAL INTELLIGENCE  \nTABLE OF CONTENTS  \nA NOTE FROM THE AUTHORS 3  \nABOUT THE AUTHORS 6  \nEVERYDAY AI 7  \nGlossary of Terms 8  \nAI and the Quest to Compute the Human Brain 11  \nAI in Action 16  \nUnderstanding AI 21  \nEveryday AI Activity 23  \nALGORITHMS 29  \nWhat is an Algorithm? 30  \nComputer Algorithms 33  \nEmbodying Social Algorithms 36  \nMACHINE LEARNING 42  \nThe Difference Between AI and Machine Learning 43  \nPattern Recognition and Prediction 45  \nExamples of Machine Learning Algorithms 47  \nDeep Learning: Computers That “Learn” 50  \nPattern Finder Activity 53  \nEQUITY 59  \nAI in Social Spaces 60  \nA Paradigm Shift 68  \nA Speculative Sci-Fi Activity 71  \nThe Agency We Have 76  \nWRITING Mimi Onuoha and Mother Cyborg (Diana Nucera)  \nCOPY EDITING Corin Faife  \nCONTENT SUPPORT Hannah Davis  \nDESIGN AND ILLUSTRATION And Also Too  \nPRINTING Whitlock (Michigan)  \nSPECIAL THANKS Chancellar Williams, Eric Sears, Eyebeam, the participants of the 2017 NetGain Retreat and 2018 Netgain Refiguring the Future event  \nTHIS BOOK WAS MADE POSSIBLE with support from the Open Society Foundation LICENSING/COPYRIGHT INFORMATION Creative Commons AttributionNonCommercial-ShareAlike 4.0 International License  \nPRINT PUBLICATION DATE August 2018  \nA NOTE FROM THE AUTHORS  \nA NOTE FROM THE AUTHORS  \nArtificial Intelligence (AI) is changing our society.  \nWhat do listening to music, taking a flight, and getting stopped by the police all have in common? You might not realize it, but these actions could all involve artificial intelligence (AI) at work.  \nFrom cars that drive themselves to computer programs that can talk with humans, AI-based technologies are being deployed across all parts of society. This means that they’re used in everyday spaces (like typing a text message) and in more serious situations (like deciding who is more likely to commit crime) .  \nBecause these technologies can process lots of information and make complex tasks more efficient, AI presents huge opportunities for societal change. But who gets to decide what that change looks like and who it will affect? As we learn to deal with new technologies, we also have to learn how to deal with the challenges that surround them. AI, in particular, prompts two big questions for us as a public to consider:  \nA PEOPLE’S GUIDE TO AI  \n3  \nWhat does fairness look like when computers shape decision-making?  \nWho is creating the future, and how can we ensure that these creators reflect diverse communities and complex  \nsocial dynamics?  \nThe consequences of AI affect everyone, but especially traditionally disadvantaged communities like low-income groups and people of color. The exact populations who are not widely included in current conversations about the technology are the ones who face the greatest risk. What does a future of widespread AI mean for cities like Detroit, Michigan, where 40% of the population is without Internet? What does it mean for undocumented people in rural and urban areas who fear deportation? What does it mean for people working in industries where AI has the potential to replace jobs?  \nWe may not be able to answer all these questions, but we can offera perspective on how to begin this conversation. We are inspired by the legacy of popular education, which insists that in order for people to begin thinking critically, they must first have an understanding of the topic in relation to their own lives.  \nWith that in mind, this booklet aims to fill the gaps in information about AI by creating accessible materials that inform communities and allow them to identify what their ideal futures with AI can look like. Although the contents ofthis booklet focus on demystifying AI, we find it important to state that the benefits of any technology should be felt by all of us. Too often, the challenges presented by new technology spell out yet another tale of racism, sexism, gender inequality, ableism, and lack of consent within digital culture.  \nThe path to a fair futu","cbCaigsvv76OaZSH","https://ap.wps.com/l/cbCaigsvv76OaZSH","pdf",3680236,"English","# A Note from the Authors\n## Everyday AI\n## AI and the Quest to Compute the Human Brain\n## AI in Action\n# Understanding AI\n## Everyday AI Activity\n# Algorithms\n## What is an Algorithm?\n# Machine Learning\n## The Difference Between AI and Machine Learning\n# Equity\n## AI in Social Spaces\n# The Agency We Have","[{\"question\":\"Why does the guide say AI is part of everyday life?\",\"answer\":\"It explains that AI appears in common activities like typing messages and in serious situations such as decisions about crime risk.\"},{\"question\":\"What fairness questions does the guide emphasize?\",\"answer\":\"It asks what fairness looks like when computers shape decisions and how to ensure future creators reflect diverse communities and social realities.\"},{\"question\":\"Who is most at risk from the consequences of AI, according to the guide?\",\"answer\":\"It highlights traditionally disadvantaged groups, especially low-income communities and people of color, who may not be widely included in current AI conversations.\"}]","A PEOPLE’S GUIDE TO AI - AI and Equity | PDF",1792131927,202]