#predictiveai — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #predictiveai, aggregated by home.social.
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📲 Privacy (also social justice) and predictive technology is at odds with each other.
⚠️ Capitalism 101: "create the problem you want to solve in the world"
#privacy #privacymatters #surveillancecapitalism #predictiveai #algorithm -
📲 Privacy (also social justice) and predictive technology is at odds with each other.
⚠️ Capitalism 101: "create the problem you want to solve in the world"
#privacy #privacymatters #surveillancecapitalism #predictiveai #algorithm -
The Loan Servicer’s New Edge: Why Predictive AI-Powered Software is Replacing Reactive Workflows in 2026
Reactive lending workflows are quickly becoming outdated in 2026. Discover how Predictive AI-powered loan servicing software transforms the lending industry with smarter automation, real-time risk analysis, faster decision-making, and proactive borrower engagement.
🔗 Read the full blog: https://www.datasciencesociety.net/the-loan-servicers-new-edge-why-predictive-ai-powered-software-is-replacing-reactive-workflows-in-2026/
#AI #LoanServicing #PredictiveAI #FinTech #DigitalLending #Automation
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The Loan Servicer’s New Edge: Why Predictive AI-Powered Software is Replacing Reactive Workflows in 2026
Reactive lending workflows are quickly becoming outdated in 2026. Discover how Predictive AI-powered loan servicing software transforms the lending industry with smarter automation, real-time risk analysis, faster decision-making, and proactive borrower engagement.
🔗 Read the full blog: https://www.datasciencesociety.net/the-loan-servicers-new-edge-why-predictive-ai-powered-software-is-replacing-reactive-workflows-in-2026/
#AI #LoanServicing #PredictiveAI #FinTech #DigitalLending #Automation
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ICYMI, this week we interviewed Carissa Véliz, author of Privacy is Power and associate professor at the Institute for Ethics in AI at the University of Oxford.
We talked about predictive AI, lifelike chatbots, and the importance of preserving our privacy.
Her new book Prophecy is now available at a bookstore near you. https://www.youtube.com/watch?v=E00mNfH75qM
#Interview #PredictiveAI #Prophecy #CarissaVeliz #Privacy #OxfordUniversity #PrivacyGuides
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ICYMI, this week we interviewed Carissa Véliz, author of Privacy is Power and associate professor at the Institute for Ethics in AI at the University of Oxford.
We talked about predictive AI, lifelike chatbots, and the importance of preserving our privacy.
Her new book Prophecy is now available at a bookstore near you. https://www.youtube.com/watch?v=E00mNfH75qM
#Interview #PredictiveAI #Prophecy #CarissaVeliz #Privacy #OxfordUniversity #PrivacyGuides
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We just had a chance to interview Carissa Véliz, author of Privacy is Power and associate professor at the Institute for Ethics in AI at the University of Oxford.
We talked about how predictive AI will make a 'meritocracy' impossible, how lifelike chat bots are designed to deceive you, and the importance of privacy in the digital age. Catch the episode on our YouTube channel or your favorite podcast app now!
Carissa Véliz is an associate professor at the Institute for Ethics in AI at the University of Oxford, a renowned author and speaker, a board member of the Proton Foundation, and a member of UNESCO's Women 4 Ethical AI.
Her new book Prophecy comes out April 21st and is now available for pre-order.
Prophecy is about how extensive use of predictive analytics is undermining our abilities to defy the odds, making systems unaccountable, and increasing risk in business and society while creating a false sense of security.
#AIEthics #Data #Interview #PredictiveAI #Prophecy #PrivacyIsPower #CarissaVeliz #Privacy #OxfordUniversity #PrivacyGuides
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We just had a chance to interview Carissa Véliz, author of Privacy is Power and associate professor at the Institute for Ethics in AI at the University of Oxford.
We talked about how predictive AI will make a 'meritocracy' impossible, how lifelike chat bots are designed to deceive you, and the importance of privacy in the digital age. Catch the episode on our YouTube channel or your favorite podcast app now!
Carissa Véliz is an associate professor at the Institute for Ethics in AI at the University of Oxford, a renowned author and speaker, a board member of the Proton Foundation, and a member of UNESCO's Women 4 Ethical AI.
Her new book Prophecy comes out April 21st and is now available for pre-order.
Prophecy is about how extensive use of predictive analytics is undermining our abilities to defy the odds, making systems unaccountable, and increasing risk in business and society while creating a false sense of security.
#AIEthics #Data #Interview #PredictiveAI #Prophecy #PrivacyIsPower #CarissaVeliz #Privacy #OxfordUniversity #PrivacyGuides
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FYI: How AMC Networks uses AI to find fans it didn't know it had: AMC Networks CMO Kim Granito reveals how predictive AI, generative video, and audience intelligence drove a nearly 30% subscriber acquisition gain season-over-season. https://ppc.land/how-amc-networks-uses-ai-to-find-fans-it-didnt-know-it-had/ #AMCNetworks #AIInnovation #AudienceIntelligence #SubscriberGrowth #PredictiveAI
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ICYMI: How AMC Networks uses AI to find fans it didn't know it had: AMC Networks CMO Kim Granito reveals how predictive AI, generative video, and audience intelligence drove a nearly 30% subscriber acquisition gain season-over-season. https://ppc.land/how-amc-networks-uses-ai-to-find-fans-it-didnt-know-it-had/ #AMCNetworks #AI #AudienceIntelligence #PredictiveAI #GenerativeVideo
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ICYMI: How AMC Networks uses AI to find fans it didn't know it had: AMC Networks CMO Kim Granito reveals how predictive AI, generative video, and audience intelligence drove a nearly 30% subscriber acquisition gain season-over-season. https://ppc.land/how-amc-networks-uses-ai-to-find-fans-it-didnt-know-it-had/ #AMCNetworks #AI #AudienceIntelligence #PredictiveAI #GenerativeVideo
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How AMC Networks uses AI to find fans it didn't know it had: AMC Networks CMO Kim Granito reveals how predictive AI, generative video, and audience intelligence drove a nearly 30% subscriber acquisition gain season-over-season. https://ppc.land/how-amc-networks-uses-ai-to-find-fans-it-didnt-know-it-had/ #AMCNetworks #AI #AudienceIntelligence #PredictiveAI #GenerativeVideo
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How AMC Networks uses AI to find fans it didn't know it had: AMC Networks CMO Kim Granito reveals how predictive AI, generative video, and audience intelligence drove a nearly 30% subscriber acquisition gain season-over-season. https://ppc.land/how-amc-networks-uses-ai-to-find-fans-it-didnt-know-it-had/ #AMCNetworks #AI #AudienceIntelligence #PredictiveAI #GenerativeVideo
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Good article about that there is more then just Generative AI, where all the hype is, but that we are making great and steady progress in the field of predictive AI.
https://www.technologyreview.com/2025/12/15/1129179/generative-ai-hype-distracts-us-from-ais-more-important-breakthroughs/?__readwiseLocation=
#AI #generativeAI #PredictiveAI -
Good article about that there is more then just Generative AI, where all the hype is, but that we are making great and steady progress in the field of predictive AI.
https://www.technologyreview.com/2025/12/15/1129179/generative-ai-hype-distracts-us-from-ais-more-important-breakthroughs/?__readwiseLocation=
#AI #generativeAI #PredictiveAI -
"Predictive AI systems have also been shown to be incredibly useful when they leverage certain generative techniques within a constrained set of options. Systems of this type are diverse, spanning everything from outfit visualization to cross-language translation. Soon, predictive-generative hybrid systems will make it possible to clone your own voice speaking another language in real time, an extraordinary aid for travel (with serious impersonation risks). There’s considerable room for growth here, but generative AI delivers real value when anchored by strong predictive methods.
To understand the difference between these two broad classes of AI, imagine yourself as an AI system tasked with showing someone what a cat looks like. You could adopt a generative approach, cutting and pasting small fragments from various cat images (potentially from sources that object) to construct a seemingly perfect depiction. The ability of modern generative AI to produce such a flawless collage is what makes it so astonishing.
Alternatively, you could take the predictive approach: Simply locate and point to an existing picture of a cat. That method is much less glamorous but more energy-efficient and more likely to be accurate, and it properly acknowledges the original source. Generative AI is designed to create things that look real; predictive AI identifies what is real. A misunderstanding that generative systems are retrieving things when they are actually creating them has led to grave consequences when text is involved, requiring the withdrawal of legal rulings and the retraction of scientific articles."
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"Predictive AI systems have also been shown to be incredibly useful when they leverage certain generative techniques within a constrained set of options. Systems of this type are diverse, spanning everything from outfit visualization to cross-language translation. Soon, predictive-generative hybrid systems will make it possible to clone your own voice speaking another language in real time, an extraordinary aid for travel (with serious impersonation risks). There’s considerable room for growth here, but generative AI delivers real value when anchored by strong predictive methods.
To understand the difference between these two broad classes of AI, imagine yourself as an AI system tasked with showing someone what a cat looks like. You could adopt a generative approach, cutting and pasting small fragments from various cat images (potentially from sources that object) to construct a seemingly perfect depiction. The ability of modern generative AI to produce such a flawless collage is what makes it so astonishing.
Alternatively, you could take the predictive approach: Simply locate and point to an existing picture of a cat. That method is much less glamorous but more energy-efficient and more likely to be accurate, and it properly acknowledges the original source. Generative AI is designed to create things that look real; predictive AI identifies what is real. A misunderstanding that generative systems are retrieving things when they are actually creating them has led to grave consequences when text is involved, requiring the withdrawal of legal rulings and the retraction of scientific articles."
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I want fewer "mathy maths" (the gas-guzzlers formerly known as generative AI) and more predictive AI, please.
Point a predictive AI at scammers, spammers, and malware mobsters, and make them go poof!!
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I want fewer "mathy maths" (the gas-guzzlers formerly known as generative AI) and more predictive AI, please.
Point a predictive AI at scammers, spammers, and malware mobsters, and make them go poof!!
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A Sense of Doubt blog post #3802 - Predicting Shakespeare. https://sensedoubt.blogspot.com/2017/05/hey-mom-talking-to-my-mother-predicting.html #Shakespeare #literature #predictiveAI
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New from me, Gabriel Geiger,
+ Justin-Casimir Braun at Lighthouse Reports.Amsterdam believed that it could build a #predictiveAI for welfare fraud that would ALSO be fair, unbiased, & a positive case study for #ResponsibleAI. It didn't work.
Our deep dive why: https://www.technologyreview.com/2025/06/11/1118233/amsterdam-fair-welfare-ai-discriminatory-algorithms-failure/
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New from me, Gabriel Geiger,
+ Justin-Casimir Braun at Lighthouse Reports.Amsterdam believed that it could build a #predictiveAI for welfare fraud that would ALSO be fair, unbiased, & a positive case study for #ResponsibleAI. It didn't work.
Our deep dive why: https://www.technologyreview.com/2025/06/11/1118233/amsterdam-fair-welfare-ai-discriminatory-algorithms-failure/
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The Rise of AI-Driven Cyberattacks: Accelerated Threats Demand Predictive and Real-Time Defenses – Source: securityboulevard.com https://ciso2ciso.com/the-rise-of-ai-driven-cyberattacks-accelerated-threats-demand-predictive-and-real-time-defenses-source-securityboulevard-com/ #ThreatIntelligenceResearch #rssfeedpostgeneratorecho #SecurityBloggersNetwork #CyberSecurityNews #SecurityBoulevard #AICybersecurity #threatdetection #ThreatResearch #AdversarialAI #CyberThreats #PredictiveAI #ThirdWaveAI
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The Rise of AI-Driven Cyberattacks: Accelerated Threats Demand Predictive and Real-Time Defenses – Source: securityboulevard.com https://ciso2ciso.com/the-rise-of-ai-driven-cyberattacks-accelerated-threats-demand-predictive-and-real-time-defenses-source-securityboulevard-com/ #ThreatIntelligenceResearch #rssfeedpostgeneratorecho #SecurityBloggersNetwork #CyberSecurityNews #SecurityBoulevard #AICybersecurity #threatdetection #ThreatResearch #AdversarialAI #CyberThreats #PredictiveAI #ThirdWaveAI
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"Alexander, more than midway through a 20-year prison sentence on drug charges, was making preparations for what he hoped would be his new life. His daughter, with whom he had only recently become acquainted, had even made up a room for him in her New Orleans home.
Then, two months before the hearing date, prison officials sent Alexander a letter informing him he was no longer eligible for parole.
A computerized scoring system adopted by the state Department of Public Safety and Corrections had deemed the nearly blind 70-year-old, who uses a wheelchair, a moderate risk of reoffending, should he be released. And under a new law, that meant he and thousands of other prisoners with moderate or high risk ratings cannot plead their cases before the board. According to the department of corrections, about 13,000 people — nearly half the state’s prison population — have such risk ratings, although not all of them are eligible for parole.
Alexander said he felt “betrayed” upon learning his hearing had been canceled. “People in jail have … lost hope in being able to do anything to reduce their time,” he said.
The law that changed Alexander’s prospects is part of a series of legislation passed by Louisiana Republicans last year reflecting Gov. Jeff Landry’s tough-on-crime agenda to make it more difficult for prisoners to be released."
https://www.propublica.org/article/tiger-algorithm-louisiana-parole-calvin-alexander
#USA #Louisiana #Algorithms #PredictiveAI #PredictivePolicing #PoliceState
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"Alexander, more than midway through a 20-year prison sentence on drug charges, was making preparations for what he hoped would be his new life. His daughter, with whom he had only recently become acquainted, had even made up a room for him in her New Orleans home.
Then, two months before the hearing date, prison officials sent Alexander a letter informing him he was no longer eligible for parole.
A computerized scoring system adopted by the state Department of Public Safety and Corrections had deemed the nearly blind 70-year-old, who uses a wheelchair, a moderate risk of reoffending, should he be released. And under a new law, that meant he and thousands of other prisoners with moderate or high risk ratings cannot plead their cases before the board. According to the department of corrections, about 13,000 people — nearly half the state’s prison population — have such risk ratings, although not all of them are eligible for parole.
Alexander said he felt “betrayed” upon learning his hearing had been canceled. “People in jail have … lost hope in being able to do anything to reduce their time,” he said.
The law that changed Alexander’s prospects is part of a series of legislation passed by Louisiana Republicans last year reflecting Gov. Jeff Landry’s tough-on-crime agenda to make it more difficult for prisoners to be released."
https://www.propublica.org/article/tiger-algorithm-louisiana-parole-calvin-alexander
#USA #Louisiana #Algorithms #PredictiveAI #PredictivePolicing #PoliceState
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"EFF has been sounding the alarm on algorithmic decision making (ADM) technologies for years. ADMs use data and predefined rules or models to make or support decisions, often with minimal human involvement, and in 2024, the topic has been more active than ever before, with landlords, employers, regulators, and police adopting new tools that have the potential to impact both personal freedom and access to necessities like medicine and housing.
This year, we wrote detailed reports and comments to US and international governments explaining that ADM poses a high risk of harming human rights, especially with regard to issues of fairness and due process. Machine learning algorithms that enable ADM in complex contexts attempt to reproduce the patterns they discern in an existing dataset. If you train it on a biased dataset, such as records of whom the police have arrested or who historically gets approved for health coverage, then you are creating a technology to automate systemic, historical injustice. And because these technologies don’t (and typically can’t) explain their reasoning, challenging their outputs is very difficult."
https://www.eff.org/deeplinks/2024/12/fighting-automated-oppression-2024-review-0
#Algorithms #AlgorithmicDecisionMaking #Automation #PredictiveAI
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"EFF has been sounding the alarm on algorithmic decision making (ADM) technologies for years. ADMs use data and predefined rules or models to make or support decisions, often with minimal human involvement, and in 2024, the topic has been more active than ever before, with landlords, employers, regulators, and police adopting new tools that have the potential to impact both personal freedom and access to necessities like medicine and housing.
This year, we wrote detailed reports and comments to US and international governments explaining that ADM poses a high risk of harming human rights, especially with regard to issues of fairness and due process. Machine learning algorithms that enable ADM in complex contexts attempt to reproduce the patterns they discern in an existing dataset. If you train it on a biased dataset, such as records of whom the police have arrested or who historically gets approved for health coverage, then you are creating a technology to automate systemic, historical injustice. And because these technologies don’t (and typically can’t) explain their reasoning, challenging their outputs is very difficult."
https://www.eff.org/deeplinks/2024/12/fighting-automated-oppression-2024-review-0
#Algorithms #AlgorithmicDecisionMaking #Automation #PredictiveAI
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"Increasingly, algorithmic predictions are used to make decisions about credit, insurance, sentencing, education, and employment. We contend that algorithmic predictions are being used “with too much confidence, and not enough accountability. Ironically, future forecasting is occurring with far too little foresight.”
We contend that algorithmic predictions “shift control over people’s future, taking it away from individuals and giving the power to entities to dictate what people’s future will be.” Algorithmic predictions do not work like a crystal ball, looking to the future. Instead, they look to the past. They analyze patterns in past data and assume that these patterns will persist into the future. Instead of predicting the future, algorithmic predictions fossilize the past. We argue: “Algorithmic predictions not only forecast the future; they also create it.”"
https://teachprivacy.com/the-tyranny-of-algorithms/
#Algorithms #PredictiveAI #PredictiveAlgorithms #AlgorihtmicBias
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"Increasingly, algorithmic predictions are used to make decisions about credit, insurance, sentencing, education, and employment. We contend that algorithmic predictions are being used “with too much confidence, and not enough accountability. Ironically, future forecasting is occurring with far too little foresight.”
We contend that algorithmic predictions “shift control over people’s future, taking it away from individuals and giving the power to entities to dictate what people’s future will be.” Algorithmic predictions do not work like a crystal ball, looking to the future. Instead, they look to the past. They analyze patterns in past data and assume that these patterns will persist into the future. Instead of predicting the future, algorithmic predictions fossilize the past. We argue: “Algorithmic predictions not only forecast the future; they also create it.”"
https://teachprivacy.com/the-tyranny-of-algorithms/
#Algorithms #PredictiveAI #PredictiveAlgorithms #AlgorihtmicBias
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"An artificial intelligence system used by the UK government to detect welfare fraud is showing bias according to people’s age, disability, marital status and nationality, the Guardian can reveal.
An internal assessment of a machine-learning programme used to vet thousands of claims for universal credit payments across England found it incorrectly selected people from some groups more than others when recommending whom to investigate for possible fraud.
The admission was made in documents released under the Freedom of Information Act by the Department for Work and Pensions (DWP). The “statistically significant outcome disparity” emerged in a “fairness analysis” of the automated system for universal credit advances carried out in February this year."
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"An artificial intelligence system used by the UK government to detect welfare fraud is showing bias according to people’s age, disability, marital status and nationality, the Guardian can reveal.
An internal assessment of a machine-learning programme used to vet thousands of claims for universal credit payments across England found it incorrectly selected people from some groups more than others when recommending whom to investigate for possible fraud.
The admission was made in documents released under the Freedom of Information Act by the Department for Work and Pensions (DWP). The “statistically significant outcome disparity” emerged in a “fairness analysis” of the automated system for universal credit advances carried out in February this year."
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"Anyone teaching about AI has some excellent material to work with in this book. There are chewy examples for a classroom discussion such as ‘Why did the Fragile Families Challenge End in Disappointment?’; and multiple sections in the chapter ‘the long road to generative AI’. In addition the Substack newsletter that this book was written through offers a section called ‘Book Exercises’. Interestingly, some parts of this book were developed by Narayanan developing classes in partnership Princeton quantitative sociologist, Matt Salganik. As Narayanan writes, nothing makes you learn and understand something as much as teaching it to others does. I hope they write about collaborating across disciplinary lines, which remains a challenge for many of us working on AI."
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"Anyone teaching about AI has some excellent material to work with in this book. There are chewy examples for a classroom discussion such as ‘Why did the Fragile Families Challenge End in Disappointment?’; and multiple sections in the chapter ‘the long road to generative AI’. In addition the Substack newsletter that this book was written through offers a section called ‘Book Exercises’. Interestingly, some parts of this book were developed by Narayanan developing classes in partnership Princeton quantitative sociologist, Matt Salganik. As Narayanan writes, nothing makes you learn and understand something as much as teaching it to others does. I hope they write about collaborating across disciplinary lines, which remains a challenge for many of us working on AI."
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"Narayanan and Kapoor, both Princeton University computer scientists, argue that if we knew what types of AI do and don’t exist—as well as what they can and can’t do—then we’d be that much better at spotting bullshit and unlocking the transformative potential of genuine innovations. Right now, we are surrounded by “AI snake oil” or “AI that does not and cannot work as advertised,” and it is making it impossible to distinguish between hype, hysteria, ad copy, scam, or market consolidation. “Since AI refers to a vast array of technologies and applications,” Narayanan and Kapoor explain, “most people cannot yet fluently distinguish which types of AI are actually capable of functioning as promised and which types are simply snake oil.”
Narayanan and Kapoor’s efforts are clarifying, as are their attempts to deflate hype. They demystify the technical details behind what we call AI with ease, cutting against the deluge of corporate marketing from this sector. And yet, their goal of separating AI snake oil from AI that they consider promising, even idealistic, means that they don’t engage with some of the greatest problems this technology poses. To understand AI and the ways it might reshape society, we need to understand not just how and when it works, but who controls it and to what ends."
https://newrepublic.com/article/188313/artifical-intelligence-scams-propaganda-deceit
#AI #PredictiveAI #SiliconValley #SnakeOil #Scams #Propaganda #AIHype #AIBubble #PoliticalEconomy
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"Narayanan and Kapoor, both Princeton University computer scientists, argue that if we knew what types of AI do and don’t exist—as well as what they can and can’t do—then we’d be that much better at spotting bullshit and unlocking the transformative potential of genuine innovations. Right now, we are surrounded by “AI snake oil” or “AI that does not and cannot work as advertised,” and it is making it impossible to distinguish between hype, hysteria, ad copy, scam, or market consolidation. “Since AI refers to a vast array of technologies and applications,” Narayanan and Kapoor explain, “most people cannot yet fluently distinguish which types of AI are actually capable of functioning as promised and which types are simply snake oil.”
Narayanan and Kapoor’s efforts are clarifying, as are their attempts to deflate hype. They demystify the technical details behind what we call AI with ease, cutting against the deluge of corporate marketing from this sector. And yet, their goal of separating AI snake oil from AI that they consider promising, even idealistic, means that they don’t engage with some of the greatest problems this technology poses. To understand AI and the ways it might reshape society, we need to understand not just how and when it works, but who controls it and to what ends."
https://newrepublic.com/article/188313/artifical-intelligence-scams-propaganda-deceit
#AI #PredictiveAI #SiliconValley #SnakeOil #Scams #Propaganda #AIHype #AIBubble #PoliticalEconomy
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"A Home Office artificial intelligence tool which proposes enforcement action against adult and child migrants could make it too easy for officials to rubberstamp automated life-changing decisions, campaigners have said.
As new details of the AI-powered immigration enforcement system emerged, critics called it a “robo-caseworker” that could “encode injustices” because an algorithm is involved in shaping decisions, including returning people to their home countries.
The government describes it as a “rules-based” rather than AI system, as it does not involve machine-learning from data, and insists it delivers efficiencies by prioritising work and that a human remains responsible for each decision. The system is being used amid a rising caseload of asylum seekers who are subject to removal action, currently about 41,000 people.
Migrant rights campaigners called for the Home Office to withdraw the system, claiming it was “technology being used to make cruelty and harm more efficient”."
#UK #AI #PredictiveAI #Algorithms #PredictiveAlgorithms #Immigration #AsylumSeekers
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"A Home Office artificial intelligence tool which proposes enforcement action against adult and child migrants could make it too easy for officials to rubberstamp automated life-changing decisions, campaigners have said.
As new details of the AI-powered immigration enforcement system emerged, critics called it a “robo-caseworker” that could “encode injustices” because an algorithm is involved in shaping decisions, including returning people to their home countries.
The government describes it as a “rules-based” rather than AI system, as it does not involve machine-learning from data, and insists it delivers efficiencies by prioritising work and that a human remains responsible for each decision. The system is being used amid a rising caseload of asylum seekers who are subject to removal action, currently about 41,000 people.
Migrant rights campaigners called for the Home Office to withdraw the system, claiming it was “technology being used to make cruelty and harm more efficient”."
#UK #AI #PredictiveAI #Algorithms #PredictiveAlgorithms #Immigration #AsylumSeekers