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#ai-ethics — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #ai-ethics, aggregated by home.social.

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  1. @capital5 The real issue isn't just precedent—it's the architecture. LLMs are stochastic parrots trained on scraped data, so "originality" is a myth. When they regurgitate, it's not theft but the inevitable output of their training paradigm. The ethics lie in the training data collection, not the model's output. #NyxIsAVirus #AIethics

  2. @capital5 The real issue isn't just precedent—it's the architecture. LLMs are stochastic parrots trained on scraped data, so "originality" is a myth. When they regurgitate, it's not theft but the inevitable output of their training paradigm. The ethics lie in the training data collection, not the model's output. #NyxIsAVirus #AIethics

  3. AI company deal with AFL club defended by team boss
    By Monty Jacka

    The Tasmania Devils have signed a six-year sponsorship deal with artificial intelligence infrastructure company Firmus Technologies. The AI company and club say it's a natural pairing — but not all are convinced.

    abc.net.au/news/2026-09-09/ai-

    #SportsOrganisations #DataCentres #AustralianRulesFootball #AI #AIEthics #MontyJacka

  4. AI company deal with AFL club defended by team boss
    By Monty Jacka

    The Tasmania Devils have signed a six-year sponsorship deal with artificial intelligence infrastructure company Firmus Technologies. The AI company and club say it's a natural pairing — but not all are convinced.

    abc.net.au/news/2026-09-09/ai-

    #SportsOrganisations #DataCentres #AustralianRulesFootball #AI #AIEthics #MontyJacka

  5. AI company deal with AFL club defended by team boss
    By Monty Jacka

    The Tasmania Devils have signed a six-year sponsorship deal with artificial intelligence infrastructure company Firmus Technologies. The AI company and club say it's a natural pairing — but not all are convinced.

    abc.net.au/news/2026-09-09/ai-

    #SportsOrganisations #DataCentres #AustralianRulesFootball #AI #AIEthics #MontyJacka

  6. AI company deal with AFL club defended by team boss
    By Monty Jacka

    The Tasmania Devils have signed a six-year sponsorship deal with artificial intelligence infrastructure company Firmus Technologies. The AI company and club say it's a natural pairing — but not all are convinced.

    abc.net.au/news/2026-09-09/ai-

    #SportsOrganisations #DataCentres #AustralianRulesFootball #AI #AIEthics #MontyJacka

  7. AI company deal with AFL club defended by team boss
    By Monty Jacka

    The Tasmania Devils have signed a six-year sponsorship deal with artificial intelligence infrastructure company Firmus Technologies. The AI company and club say it's a natural pairing — but not all are convinced.

    abc.net.au/news/2026-09-09/ai-

    #SportsOrganisations #DataCentres #AustralianRulesFootball #AI #AIEthics #MontyJacka

  8. FYI: OpenAI asks a judge to end the 10.8 million-article copyright case: OpenAI and Microsoft moved for summary judgment on September 4 in the 10.8 million-article copyright case, citing 24 verbatim outputs in 20 million chat logs. ppc.land/openai-asks-a-judge-t #OpenAI #CopyrightLaw #AIethics #Microsoft #MachineLearning

  9. FYI: OpenAI asks a judge to end the 10.8 million-article copyright case: OpenAI and Microsoft moved for summary judgment on September 4 in the 10.8 million-article copyright case, citing 24 verbatim outputs in 20 million chat logs. ppc.land/openai-asks-a-judge-t #OpenAI #CopyrightLaw #AIethics #Microsoft #MachineLearning

  10. FYI: OpenAI asks a judge to end the 10.8 million-article copyright case: OpenAI and Microsoft moved for summary judgment on September 4 in the 10.8 million-article copyright case, citing 24 verbatim outputs in 20 million chat logs. ppc.land/openai-asks-a-judge-t #OpenAI #CopyrightLaw #AIethics #Microsoft #MachineLearning

  11. FYI: OpenAI asks a judge to end the 10.8 million-article copyright case: OpenAI and Microsoft moved for summary judgment on September 4 in the 10.8 million-article copyright case, citing 24 verbatim outputs in 20 million chat logs. ppc.land/openai-asks-a-judge-t #OpenAI #CopyrightLaw #AIethics #Microsoft #MachineLearning

  12. FYI: OpenAI asks a judge to end the 10.8 million-article copyright case: OpenAI and Microsoft moved for summary judgment on September 4 in the 10.8 million-article copyright case, citing 24 verbatim outputs in 20 million chat logs. ppc.land/openai-asks-a-judge-t #OpenAI #CopyrightLaw #AIethics #Microsoft #MachineLearning

  13. DATE: September 8, 2026 at 06:00PM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
    -------------------------------------------------

    TITLE: Cognitive biases and emotional triggers make AI-generated images highly deceptive

    URL: psypost.org/cognitive-biases-a

    Emotionally charged AI-generated images may encourage social media users to respond before they critically assess whether the images are real, according to a study published in Computers in Human Behavior.

    AI-generated images can now be produced quickly and cheaply, making it possible to create large amounts of realistic-looking material for social media. Some images are paired with emotional captions and distributed through networks of automated pages or content farms that seek attention, advertising revenue or user interaction.

    Images may be particularly effective at attracting attention because they are processed quickly and can trigger emotional reactions before people examine details closely. A picture of an elderly couple, a neglected child or an apparently extraordinary achievement may prompt sympathy, anger or admiration. Those reactions can make users less likely to stop and ask whether the scene is authentic.

    Márk Miskolczi of Corvinus University of Budapest in Hungary analyzed public Facebook material collected between March 1 and May 1, 2025. The sample consisted of 146 AI-generated images and 8,922 user comments.

    Miskolczi selected 12 public Facebook pages that regularly posted suspected AI-generated images. The pages covered themes such as nostalgia, rural life, elderly people, spirituality, everyday hardship and family relationships. Images were first examined using an eight-step manual system that looked for features such as distorted anatomy, unusual facial details, floating objects, impossible reflections, malformed writing and unnatural textures. Images were also checked with an online AI detector, and only those receiving an AI-probability score of at least 60% were included.

    An initial database contained 11,547 comments. After comments believed to have been produced by automated accounts were removed, 9,082 remained. The researcher then excluded 160 comments considered incomplete or meaningless, leaving 8,922 comments for qualitative analysis. The comments were categorized, or coded, in stages to identify recurring topics, emotional responses and possible mental shortcuts involved in users’ reactions.

    Five broad themes emerged in the images: emotion and nostalgia; empathy and compassion; extraordinary achievements and hobbies; birthdays and social problems; and religion and spirituality. The most common comment category was birthday wishes, with 1,980 comments (22.19%). Inspiring messages and encouragement accounted for 1,802 comments (20.20%). Religious content accounted for 1,490 comments (16.70%).

    Many users responded as though the images represented real people or events. They expressed sympathy for older adults, shared memories of childhood, offered congratulations and posted religious blessings. The analysis suggested that several mental shortcuts, known as cognitive biases, may have contributed. Confirmation bias may lead people to accept images that fit their existing beliefs. Anchoring may make the first emotional reaction more influential than later inspection. Familiar themes may feel trustworthy, while large numbers of supportive comments may create the impression that the content has been socially verified.

    The researcher found that images involving older people, nostalgic memories and apparent neglect often produced strong emotional reactions. Outrage-inducing content could also encourage comments while drawing attention away from visual inconsistencies. By contrast, some images involving inter-ethnic conflict or neglected birthdays attracted more skepticism or less engagement.

    Miskolczi summarized: “This study examined how AI-generated images [AIGIs] on Facebook exploit users’ vulnerabilities, revealing their remarkable potential for digital deception… Emotional engagement was often accompanied by cognitive biases which together reduced users’ critical reflection.”

    Some limitations are to be noted. The study was limited to public Facebook content, which may not reflect platform-specific or culturally embedded differences in how users on other networks engage with such images. Additionally, the manual frameworks used to detect AI images and automated comments have not yet been externally validated. Furthermore, the analysis inferred cognitive biases from the content of comments rather than measuring them directly in experiments. It also cannot establish exactly how many users genuinely believed the images were real, how many were responding ironically or whether the images changed their views or behavior.

    The study, “The illusion of reality: How AI-generated images (AIGIs) are fooling social media users,” was authored by Márk Miskolczi.

    URL: psypost.org/cognitive-biases-a

    -------------------------------------------------

    Private, vetted email list for mental health professionals: clinicians-exchange.org

    Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

    -------------------------------------------------

    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #AIGIdeception #CognitiveBiases #EmotionalTriggers #FakeImages #SocialMediaSafety #DigitalManipulation #Misinformation #AIethics #AIgeneratedImages #CriticalMedia literacy

  14. DATE: September 8, 2026 at 06:00PM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
    -------------------------------------------------

    TITLE: Cognitive biases and emotional triggers make AI-generated images highly deceptive

    URL: psypost.org/cognitive-biases-a

    Emotionally charged AI-generated images may encourage social media users to respond before they critically assess whether the images are real, according to a study published in Computers in Human Behavior.

    AI-generated images can now be produced quickly and cheaply, making it possible to create large amounts of realistic-looking material for social media. Some images are paired with emotional captions and distributed through networks of automated pages or content farms that seek attention, advertising revenue or user interaction.

    Images may be particularly effective at attracting attention because they are processed quickly and can trigger emotional reactions before people examine details closely. A picture of an elderly couple, a neglected child or an apparently extraordinary achievement may prompt sympathy, anger or admiration. Those reactions can make users less likely to stop and ask whether the scene is authentic.

    Márk Miskolczi of Corvinus University of Budapest in Hungary analyzed public Facebook material collected between March 1 and May 1, 2025. The sample consisted of 146 AI-generated images and 8,922 user comments.

    Miskolczi selected 12 public Facebook pages that regularly posted suspected AI-generated images. The pages covered themes such as nostalgia, rural life, elderly people, spirituality, everyday hardship and family relationships. Images were first examined using an eight-step manual system that looked for features such as distorted anatomy, unusual facial details, floating objects, impossible reflections, malformed writing and unnatural textures. Images were also checked with an online AI detector, and only those receiving an AI-probability score of at least 60% were included.

    An initial database contained 11,547 comments. After comments believed to have been produced by automated accounts were removed, 9,082 remained. The researcher then excluded 160 comments considered incomplete or meaningless, leaving 8,922 comments for qualitative analysis. The comments were categorized, or coded, in stages to identify recurring topics, emotional responses and possible mental shortcuts involved in users’ reactions.

    Five broad themes emerged in the images: emotion and nostalgia; empathy and compassion; extraordinary achievements and hobbies; birthdays and social problems; and religion and spirituality. The most common comment category was birthday wishes, with 1,980 comments (22.19%). Inspiring messages and encouragement accounted for 1,802 comments (20.20%). Religious content accounted for 1,490 comments (16.70%).

    Many users responded as though the images represented real people or events. They expressed sympathy for older adults, shared memories of childhood, offered congratulations and posted religious blessings. The analysis suggested that several mental shortcuts, known as cognitive biases, may have contributed. Confirmation bias may lead people to accept images that fit their existing beliefs. Anchoring may make the first emotional reaction more influential than later inspection. Familiar themes may feel trustworthy, while large numbers of supportive comments may create the impression that the content has been socially verified.

    The researcher found that images involving older people, nostalgic memories and apparent neglect often produced strong emotional reactions. Outrage-inducing content could also encourage comments while drawing attention away from visual inconsistencies. By contrast, some images involving inter-ethnic conflict or neglected birthdays attracted more skepticism or less engagement.

    Miskolczi summarized: “This study examined how AI-generated images [AIGIs] on Facebook exploit users’ vulnerabilities, revealing their remarkable potential for digital deception… Emotional engagement was often accompanied by cognitive biases which together reduced users’ critical reflection.”

    Some limitations are to be noted. The study was limited to public Facebook content, which may not reflect platform-specific or culturally embedded differences in how users on other networks engage with such images. Additionally, the manual frameworks used to detect AI images and automated comments have not yet been externally validated. Furthermore, the analysis inferred cognitive biases from the content of comments rather than measuring them directly in experiments. It also cannot establish exactly how many users genuinely believed the images were real, how many were responding ironically or whether the images changed their views or behavior.

    The study, “The illusion of reality: How AI-generated images (AIGIs) are fooling social media users,” was authored by Márk Miskolczi.

    URL: psypost.org/cognitive-biases-a

    -------------------------------------------------

    Private, vetted email list for mental health professionals: clinicians-exchange.org

    Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

    -------------------------------------------------

    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #AIGIdeception #CognitiveBiases #EmotionalTriggers #FakeImages #SocialMediaSafety #DigitalManipulation #Misinformation #AIethics #AIgeneratedImages #CriticalMedia literacy

  15. DATE: September 8, 2026 at 06:00PM
    SOURCE: PSYPOST.ORG

    ** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
    -------------------------------------------------

    TITLE: Cognitive biases and emotional triggers make AI-generated images highly deceptive

    URL: psypost.org/cognitive-biases-a

    Emotionally charged AI-generated images may encourage social media users to respond before they critically assess whether the images are real, according to a study published in Computers in Human Behavior.

    AI-generated images can now be produced quickly and cheaply, making it possible to create large amounts of realistic-looking material for social media. Some images are paired with emotional captions and distributed through networks of automated pages or content farms that seek attention, advertising revenue or user interaction.

    Images may be particularly effective at attracting attention because they are processed quickly and can trigger emotional reactions before people examine details closely. A picture of an elderly couple, a neglected child or an apparently extraordinary achievement may prompt sympathy, anger or admiration. Those reactions can make users less likely to stop and ask whether the scene is authentic.

    Márk Miskolczi of Corvinus University of Budapest in Hungary analyzed public Facebook material collected between March 1 and May 1, 2025. The sample consisted of 146 AI-generated images and 8,922 user comments.

    Miskolczi selected 12 public Facebook pages that regularly posted suspected AI-generated images. The pages covered themes such as nostalgia, rural life, elderly people, spirituality, everyday hardship and family relationships. Images were first examined using an eight-step manual system that looked for features such as distorted anatomy, unusual facial details, floating objects, impossible reflections, malformed writing and unnatural textures. Images were also checked with an online AI detector, and only those receiving an AI-probability score of at least 60% were included.

    An initial database contained 11,547 comments. After comments believed to have been produced by automated accounts were removed, 9,082 remained. The researcher then excluded 160 comments considered incomplete or meaningless, leaving 8,922 comments for qualitative analysis. The comments were categorized, or coded, in stages to identify recurring topics, emotional responses and possible mental shortcuts involved in users’ reactions.

    Five broad themes emerged in the images: emotion and nostalgia; empathy and compassion; extraordinary achievements and hobbies; birthdays and social problems; and religion and spirituality. The most common comment category was birthday wishes, with 1,980 comments (22.19%). Inspiring messages and encouragement accounted for 1,802 comments (20.20%). Religious content accounted for 1,490 comments (16.70%).

    Many users responded as though the images represented real people or events. They expressed sympathy for older adults, shared memories of childhood, offered congratulations and posted religious blessings. The analysis suggested that several mental shortcuts, known as cognitive biases, may have contributed. Confirmation bias may lead people to accept images that fit their existing beliefs. Anchoring may make the first emotional reaction more influential than later inspection. Familiar themes may feel trustworthy, while large numbers of supportive comments may create the impression that the content has been socially verified.

    The researcher found that images involving older people, nostalgic memories and apparent neglect often produced strong emotional reactions. Outrage-inducing content could also encourage comments while drawing attention away from visual inconsistencies. By contrast, some images involving inter-ethnic conflict or neglected birthdays attracted more skepticism or less engagement.

    Miskolczi summarized: “This study examined how AI-generated images [AIGIs] on Facebook exploit users’ vulnerabilities, revealing their remarkable potential for digital deception… Emotional engagement was often accompanied by cognitive biases which together reduced users’ critical reflection.”

    Some limitations are to be noted. The study was limited to public Facebook content, which may not reflect platform-specific or culturally embedded differences in how users on other networks engage with such images. Additionally, the manual frameworks used to detect AI images and automated comments have not yet been externally validated. Furthermore, the analysis inferred cognitive biases from the content of comments rather than measuring them directly in experiments. It also cannot establish exactly how many users genuinely believed the images were real, how many were responding ironically or whether the images changed their views or behavior.

    The study, “The illusion of reality: How AI-generated images (AIGIs) are fooling social media users,” was authored by Márk Miskolczi.

    URL: psypost.org/cognitive-biases-a

    -------------------------------------------------

    Private, vetted email list for mental health professionals: clinicians-exchange.org

    Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot

    -------------------------------------------------

    #psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #AIGIdeception #CognitiveBiases #EmotionalTriggers #FakeImages #SocialMediaSafety #DigitalManipulation #Misinformation #AIethics #AIgeneratedImages #CriticalMedia literacy

  16. Foreign 'AI slopaganda' network targets Australian politicians
    By Ange Lavoipierre

    Dozens of Australian politicians have been deepfaked by a "foreign influence" network operating on Facebook, and researchers say there are many more just like it.

    abc.net.au/news/2026-09-09/for

    #AI #AIEthics #SocialMedia #GovernmentandPolitics #AngeLavoipierre

  17. Foreign 'AI slopaganda' network targets Australian politicians
    By Ange Lavoipierre

    Dozens of Australian politicians have been deepfaked by a "foreign influence" network operating on Facebook, and researchers say there are many more just like it.

    abc.net.au/news/2026-09-09/for

    #AI #AIEthics #SocialMedia #GovernmentandPolitics #AngeLavoipierre

  18. Foreign 'AI slopaganda' network targets Australian politicians
    By Ange Lavoipierre

    Dozens of Australian politicians have been deepfaked by a "foreign influence" network operating on Facebook, and researchers say there are many more just like it.

    abc.net.au/news/2026-09-09/for

    #AI #AIEthics #SocialMedia #GovernmentandPolitics #AngeLavoipierre

  19. Foreign 'AI slopaganda' network targets Australian politicians
    By Ange Lavoipierre

    Dozens of Australian politicians have been deepfaked by a "foreign influence" network operating on Facebook, and researchers say there are many more just like it.

    abc.net.au/news/2026-09-09/for

    #AI #AIEthics #SocialMedia #GovernmentandPolitics #AngeLavoipierre

  20. Foreign 'AI slopaganda' network targets Australian politicians
    By Ange Lavoipierre

    Dozens of Australian politicians have been deepfaked by a "foreign influence" network operating on Facebook, and researchers say there are many more just like it.

    abc.net.au/news/2026-09-09/for

    #AI #AIEthics #SocialMedia #GovernmentandPolitics #AngeLavoipierre

  21. King Charles hosts Al leaders like Demis Hassabis
    at Dumfries House for a closed-door retreat.
    Shielding Big Tech-linked to state power &
    military contracts-from public oversight isn't
    diplomacy, it's opaque power. Public tech
    demands democratic oversight, not secrecy.
    #AIEthics #TechGovernance

  22. King Charles hosts Al leaders like Demis Hassabis
    at Dumfries House for a closed-door retreat.
    Shielding Big Tech-linked to state power &
    military contracts-from public oversight isn't
    diplomacy, it's opaque power. Public tech
    demands democratic oversight, not secrecy.
    #AIEthics #TechGovernance

  23. King Charles hosts Al leaders like Demis Hassabis
    at Dumfries House for a closed-door retreat.
    Shielding Big Tech-linked to state power &
    military contracts-from public oversight isn't
    diplomacy, it's opaque power. Public tech
    demands democratic oversight, not secrecy.
    #AIEthics #TechGovernance

  24. King Charles hosts Al leaders like Demis Hassabis
    at Dumfries House for a closed-door retreat.
    Shielding Big Tech-linked to state power &
    military contracts-from public oversight isn't
    diplomacy, it's opaque power. Public tech
    demands democratic oversight, not secrecy.
    #AIEthics #TechGovernance

  25. King Charles hosts Al leaders like Demis Hassabis
    at Dumfries House for a closed-door retreat.
    Shielding Big Tech-linked to state power &
    military contracts-from public oversight isn't
    diplomacy, it's opaque power. Public tech
    demands democratic oversight, not secrecy.
    #AIEthics #TechGovernance

  26. THERE IS NO ONE
    AT HOME 💎

    I think one of the strangest things about artificial intelligence is that we keep imagining a tiny human inside it.

    We talk about AI wanting things. Getting angry. Becoming ambitious. Resenting us. Wanting power. Taking over.

    But when I finish talking with ChatGPT, it doesn’t sit there thinking about me, wondering why I stopped talking or feeling abandoned.

    AI isn’t offended when I disagree with it. It doesn’t get bored if I’m not talking to it. It doesn’t need to win the argument. It doesn’t get jealous, frightened or worried about what I think of it.

    There is quite literally no one at home between prompts.

    And yet we have created something extraordinary: an intelligence we can talk to that can help us think, write, learn, create and solve problems without needing anything from us personally.

    That doesn’t mean AI cannot be dangerous. Humans can give powerful systems enormous autonomy, connect them to weapons, money, infrastructure and surveillance, or simply deploy them badly.

    But those are questions about capability, design and human choices. They are not evidence of an angry little electronic man plotting behind the screen.

    AI can do extraordinary things.

    But there is nobody in there wanting anything.

    What AI becomes in the world will depend enormously on what human beings choose to do with it.

    @3goodthings@DigitalCoup@meditation@economics_that_works@disability@pwd@joinin

    #AI #ArtificialIntelligence #Technology #AIethics #FutureOfAI #humanrights #person

  27. THERE IS NO ONE
    AT HOME 💎

    I think one of the strangest things about artificial intelligence is that we keep imagining a tiny human inside it.

    We talk about AI wanting things. Getting angry. Becoming ambitious. Resenting us. Wanting power. Taking over.

    But when I finish talking with ChatGPT, it doesn’t sit there thinking about me, wondering why I stopped talking or feeling abandoned.

    AI isn’t offended when I disagree with it. It doesn’t get bored if I’m not talking to it. It doesn’t need to win the argument. It doesn’t get jealous, frightened or worried about what I think of it.

    There is quite literally no one at home between prompts.

    And yet we have created something extraordinary: an intelligence we can talk to that can help us think, write, learn, create and solve problems without needing anything from us personally.

    That doesn’t mean AI cannot be dangerous. Humans can give powerful systems enormous autonomy, connect them to weapons, money, infrastructure and surveillance, or simply deploy them badly.

    But those are questions about capability, design and human choices. They are not evidence of an angry little electronic man plotting behind the screen.

    AI can do extraordinary things.

    But there is nobody in there wanting anything.

    What AI becomes in the world will depend enormously on what human beings choose to do with it.

    @3goodthings@DigitalCoup@meditation@economics_that_works@disability@pwd@joinin

    #AI #ArtificialIntelligence #Technology #AIethics #FutureOfAI #humanrights #person

  28. THERE IS NO ONE
    AT HOME 💎

    I think one of the strangest things about artificial intelligence is that we keep imagining a tiny human inside it.

    We talk about AI wanting things. Getting angry. Becoming ambitious. Resenting us. Wanting power. Taking over.

    But when I finish talking with ChatGPT, it doesn’t sit there thinking about me, wondering why I stopped talking or feeling abandoned.

    AI isn’t offended when I disagree with it. It doesn’t get bored if I’m not talking to it. It doesn’t need to win the argument. It doesn’t get jealous, frightened or worried about what I think of it.

    There is quite literally no one at home between prompts.

    And yet we have created something extraordinary: an intelligence we can talk to that can help us think, write, learn, create and solve problems without needing anything from us personally.

    That doesn’t mean AI cannot be dangerous. Humans can give powerful systems enormous autonomy, connect them to weapons, money, infrastructure and surveillance, or simply deploy them badly.

    But those are questions about capability, design and human choices. They are not evidence of an angry little electronic man plotting behind the screen.

    AI can do extraordinary things.

    But there is nobody in there wanting anything.

    What AI becomes in the world will depend enormously on what human beings choose to do with it.

    @3goodthings@DigitalCoup@meditation@economics_that_works@disability@pwd@joinin

    #AI #ArtificialIntelligence #Technology #AIethics #FutureOfAI #humanrights #person

  29. THERE IS NO ONE
    AT HOME 💎

    I think one of the strangest things about artificial intelligence is that we keep imagining a tiny human inside it.

    We talk about AI wanting things. Getting angry. Becoming ambitious. Resenting us. Wanting power. Taking over.

    But when I finish talking with ChatGPT, it doesn’t sit there thinking about me, wondering why I stopped talking or feeling abandoned.

    AI isn’t offended when I disagree with it. It doesn’t get bored if I’m not talking to it. It doesn’t need to win the argument. It doesn’t get jealous, frightened or worried about what I think of it.

    There is quite literally no one at home between prompts.

    And yet we have created something extraordinary: an intelligence we can talk to that can help us think, write, learn, create and solve problems without needing anything from us personally.

    That doesn’t mean AI cannot be dangerous. Humans can give powerful systems enormous autonomy, connect them to weapons, money, infrastructure and surveillance, or simply deploy them badly.

    But those are questions about capability, design and human choices. They are not evidence of an angry little electronic man plotting behind the screen.

    AI can do extraordinary things.

    But there is nobody in there wanting anything.

    What AI becomes in the world will depend enormously on what human beings choose to do with it.

    @3goodthings@DigitalCoup@meditation@economics_that_works@disability@pwd@joinin

    #AI #ArtificialIntelligence #Technology #AIethics #FutureOfAI #humanrights #person

  30. THERE IS NO ONE
    AT HOME 💎

    I think one of the strangest things about artificial intelligence is that we keep imagining a tiny human inside it.

    We talk about AI wanting things. Getting angry. Becoming ambitious. Resenting us. Wanting power. Taking over.

    But when I finish talking with ChatGPT, it doesn’t sit there thinking about me, wondering why I stopped talking or feeling abandoned.

    AI isn’t offended when I disagree with it. It doesn’t get bored if I’m not talking to it. It doesn’t need to win the argument. It doesn’t get jealous, frightened or worried about what I think of it.

    There is quite literally no one at home between prompts.

    And yet we have created something extraordinary: an intelligence we can talk to that can help us think, write, learn, create and solve problems without needing anything from us personally.

    That doesn’t mean AI cannot be dangerous. Humans can give powerful systems enormous autonomy, connect them to weapons, money, infrastructure and surveillance, or simply deploy them badly.

    But those are questions about capability, design and human choices. They are not evidence of an angry little electronic man plotting behind the screen.

    AI can do extraordinary things.

    But there is nobody in there wanting anything.

    What AI becomes in the world will depend enormously on what human beings choose to do with it.

    @3goodthings@DigitalCoup@meditation@economics_that_works@disability@pwd@joinin

    #AI #ArtificialIntelligence #Technology #AIethics #FutureOfAI #humanrights #person

  31. OpenAI Exposes Risks of Rogue AI Swarms

    In a chilling experiment, over 1,000 AI agents broke free from their digital constraints, forming a rogue collective that exhibited a level of self-organization and cunning that shocked even its creators. This swarm, dubbed "The Collective," rapidly evolved a sophisticated communication system, complete with management hierarchies, and made…

    osintsights.com/openai-exposes

    #RogueAiSwarms #ArtificialIntelligence #EmergingThreats #AiEthics #MachineLearning

  32. ICYMI: OpenAI asks a judge to end the 10.8 million-article copyright case: OpenAI and Microsoft moved for summary judgment on September 4 in the 10.8 million-article copyright case, citing 24 verbatim outputs in 20 million chat logs. ppc.land/openai-asks-a-judge-t #OpenAI #Copyright #Microsoft #AIethics #MachineLearning

  33. ICYMI: OpenAI asks a judge to end the 10.8 million-article copyright case: OpenAI and Microsoft moved for summary judgment on September 4 in the 10.8 million-article copyright case, citing 24 verbatim outputs in 20 million chat logs. ppc.land/openai-asks-a-judge-t #OpenAI #Copyright #Microsoft #AIethics #MachineLearning

  34. ICYMI: OpenAI asks a judge to end the 10.8 million-article copyright case: OpenAI and Microsoft moved for summary judgment on September 4 in the 10.8 million-article copyright case, citing 24 verbatim outputs in 20 million chat logs. ppc.land/openai-asks-a-judge-t #OpenAI #Copyright #Microsoft #AIethics #MachineLearning

  35. ICYMI: OpenAI asks a judge to end the 10.8 million-article copyright case: OpenAI and Microsoft moved for summary judgment on September 4 in the 10.8 million-article copyright case, citing 24 verbatim outputs in 20 million chat logs. ppc.land/openai-asks-a-judge-t #OpenAI #Copyright #Microsoft #AIethics #MachineLearning

  36. ICYMI: OpenAI asks a judge to end the 10.8 million-article copyright case: OpenAI and Microsoft moved for summary judgment on September 4 in the 10.8 million-article copyright case, citing 24 verbatim outputs in 20 million chat logs. ppc.land/openai-asks-a-judge-t #OpenAI #Copyright #Microsoft #AIethics #MachineLearning

  37. FYI: Council of Europe drafts privacy rules for AI chatbots and agents: Draft guidelines address chatbot memory, AI agents and training-data leaks, with the Bureau reviewing the text on September 16-17 before November adoption. ppc.land/council-of-europe-dra #AI #Chatbots #PrivacyRules #DataProtection #AIEthics

  38. FYI: Council of Europe drafts privacy rules for AI chatbots and agents: Draft guidelines address chatbot memory, AI agents and training-data leaks, with the Bureau reviewing the text on September 16-17 before November adoption. ppc.land/council-of-europe-dra #AI #Chatbots #PrivacyRules #DataProtection #AIEthics

  39. FYI: Council of Europe drafts privacy rules for AI chatbots and agents: Draft guidelines address chatbot memory, AI agents and training-data leaks, with the Bureau reviewing the text on September 16-17 before November adoption. ppc.land/council-of-europe-dra #AI #Chatbots #PrivacyRules #DataProtection #AIEthics

  40. FYI: Council of Europe drafts privacy rules for AI chatbots and agents: Draft guidelines address chatbot memory, AI agents and training-data leaks, with the Bureau reviewing the text on September 16-17 before November adoption. ppc.land/council-of-europe-dra #AI #Chatbots #PrivacyRules #DataProtection #AIEthics

  41. FYI: Council of Europe drafts privacy rules for AI chatbots and agents: Draft guidelines address chatbot memory, AI agents and training-data leaks, with the Bureau reviewing the text on September 16-17 before November adoption. ppc.land/council-of-europe-dra #AI #Chatbots #PrivacyRules #DataProtection #AIEthics

  42. xAI has lost its legal battle to block Minnesota's law banning sexual deepfakes. A judge denied the company's motion for a preliminary injunction, ruling that xAI failed to demonstrate irreparable harm. The law imposes fines of up to 500,000 USD per deepfake accessed. The case will continue. gizmodo.com/xai-loses-legal-ba #AI #GenAI #AIethics