#aicommunication — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #aicommunication, aggregated by home.social.
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DATE: September 4, 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: Study reveals a double standard in how we view AI-assisted communication
URL: https://www.psypost.org/study-reveals-a-double-standard-in-how-we-view-ai-assisted-communication/
People expected others to use AI-assisted communication tools more often than they would use them themselves, according to a study published in the British Journal of Psychology. The research also discovered that people viewed openly disclosed AI use more favorably than secret use when the two options were directly compared.
AI-mediated communication includes technologies that assist in communication by changing or generating part of a message. Examples include writing assistants, tools that improve the sound of someone’s voice and video software that changes a person’s appearance or facial expressions. These technologies can make communication faster or more polished, but they may also raise questions about whether a message is authentic.
The researchers were interested in the social rules people apply to these tools. Individuals often hold ideas about the acceptability of behavior, and beliefs about what others are likely to do, but those two judgments do not always match.
Led by Zoe A. Purcell of Université Paris Cité in Paris, the team conducted two online studies. Study 1 included 477 UK adults (mean age 48.48 years; 200 males, 266 females, and 11 participants in other categories). Study 2 included 765 U.S. adults (mean age 45.47 years; 379 males, 375 females, and 11 participants who were nonbinary or preferred not to say).
Participants viewed examples involving text, audio and video. In Study 1, they rated both openly disclosed and secret AI use on a five-point scale. They also rated how likely they would be to use the technology and how likely they thought other people would be to use it. Study 2 used a preregistered design in which participants were placed into separate conditions and rated acceptability and likelihood on a scale from zero to 100.
In Study 1, participants rated open AI use as more acceptable than secret use, with average scores of 3.41 and 2.72 out of 5, respectively. They also expected others to use AI communication tools more than themselves, with average likelihood ratings of 3.73 for others and 2.80 for themselves.
Study 2 produced a more nuanced result. When participants were not shown open and secret versions side by side, the difference in acceptability was small and not statistically significant. Open use received an average rating of 56.87 out of 100, compared with 53.62 for secret use. Transparency also did not change expectations about use. However, the self-other difference remained strong: participants rated the likelihood that others would use the tools at 71.41, compared with 40.44 for themselves.
Participants also considered AI use slightly more acceptable when judging other people than when judging themselves. Acceptability was more closely connected to expected behavior when people considered their own use than when they considered others’ use.
Additionally, greater familiarity with AI was associated with higher acceptability and greater expectations of use. By contrast, people who believed AI communication caused information loss or revealed something negative about a user’s character tended to rate it less favorably. These results suggest that concerns regarding AI-assisted communication may ease as these tools become more mainstream and individuals become more accustomed to them.
Purcell and colleagues summarized their findings: “Self-other differences are a central factor for understanding people’s attitudes and expectations for AI-mediated communication.”
Some limitations are to be noted. For instance, the word “others” was deliberately broad and did not specify whether participants were thinking about friends, colleagues, strangers or family members. In addition, data were collected in 2021 and 2022, before many current AI communication tools became widely used.
The study, “People have different expectations for their own versus others’ use of AI-mediated communication tools,” was authored by Zoe A. Purcell, Mengchen Dong, Anne-Marie Nussberger, Nils Köbis, and Maurice Jakesch.
URL: https://www.psypost.org/study-reveals-a-double-standard-in-how-we-view-ai-assisted-communication/
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Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #AIcommunication #AIAssistedCommunication #SelfVsOtherBias #TransparencyInAI #AIethics #AuthenticityInMessaging #TechTrust #AItools #SocialPerception #FutureOfCommunication
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DATE: September 4, 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: Study reveals a double standard in how we view AI-assisted communication
URL: https://www.psypost.org/study-reveals-a-double-standard-in-how-we-view-ai-assisted-communication/
People expected others to use AI-assisted communication tools more often than they would use them themselves, according to a study published in the British Journal of Psychology. The research also discovered that people viewed openly disclosed AI use more favorably than secret use when the two options were directly compared.
AI-mediated communication includes technologies that assist in communication by changing or generating part of a message. Examples include writing assistants, tools that improve the sound of someone’s voice and video software that changes a person’s appearance or facial expressions. These technologies can make communication faster or more polished, but they may also raise questions about whether a message is authentic.
The researchers were interested in the social rules people apply to these tools. Individuals often hold ideas about the acceptability of behavior, and beliefs about what others are likely to do, but those two judgments do not always match.
Led by Zoe A. Purcell of Université Paris Cité in Paris, the team conducted two online studies. Study 1 included 477 UK adults (mean age 48.48 years; 200 males, 266 females, and 11 participants in other categories). Study 2 included 765 U.S. adults (mean age 45.47 years; 379 males, 375 females, and 11 participants who were nonbinary or preferred not to say).
Participants viewed examples involving text, audio and video. In Study 1, they rated both openly disclosed and secret AI use on a five-point scale. They also rated how likely they would be to use the technology and how likely they thought other people would be to use it. Study 2 used a preregistered design in which participants were placed into separate conditions and rated acceptability and likelihood on a scale from zero to 100.
In Study 1, participants rated open AI use as more acceptable than secret use, with average scores of 3.41 and 2.72 out of 5, respectively. They also expected others to use AI communication tools more than themselves, with average likelihood ratings of 3.73 for others and 2.80 for themselves.
Study 2 produced a more nuanced result. When participants were not shown open and secret versions side by side, the difference in acceptability was small and not statistically significant. Open use received an average rating of 56.87 out of 100, compared with 53.62 for secret use. Transparency also did not change expectations about use. However, the self-other difference remained strong: participants rated the likelihood that others would use the tools at 71.41, compared with 40.44 for themselves.
Participants also considered AI use slightly more acceptable when judging other people than when judging themselves. Acceptability was more closely connected to expected behavior when people considered their own use than when they considered others’ use.
Additionally, greater familiarity with AI was associated with higher acceptability and greater expectations of use. By contrast, people who believed AI communication caused information loss or revealed something negative about a user’s character tended to rate it less favorably. These results suggest that concerns regarding AI-assisted communication may ease as these tools become more mainstream and individuals become more accustomed to them.
Purcell and colleagues summarized their findings: “Self-other differences are a central factor for understanding people’s attitudes and expectations for AI-mediated communication.”
Some limitations are to be noted. For instance, the word “others” was deliberately broad and did not specify whether participants were thinking about friends, colleagues, strangers or family members. In addition, data were collected in 2021 and 2022, before many current AI communication tools became widely used.
The study, “People have different expectations for their own versus others’ use of AI-mediated communication tools,” was authored by Zoe A. Purcell, Mengchen Dong, Anne-Marie Nussberger, Nils Köbis, and Maurice Jakesch.
URL: https://www.psypost.org/study-reveals-a-double-standard-in-how-we-view-ai-assisted-communication/
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
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#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #AIcommunication #AIAssistedCommunication #SelfVsOtherBias #TransparencyInAI #AIethics #AuthenticityInMessaging #TechTrust #AItools #SocialPerception #FutureOfCommunication
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DATE: September 4, 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: Study reveals a double standard in how we view AI-assisted communication
URL: https://www.psypost.org/study-reveals-a-double-standard-in-how-we-view-ai-assisted-communication/
People expected others to use AI-assisted communication tools more often than they would use them themselves, according to a study published in the British Journal of Psychology. The research also discovered that people viewed openly disclosed AI use more favorably than secret use when the two options were directly compared.
AI-mediated communication includes technologies that assist in communication by changing or generating part of a message. Examples include writing assistants, tools that improve the sound of someone’s voice and video software that changes a person’s appearance or facial expressions. These technologies can make communication faster or more polished, but they may also raise questions about whether a message is authentic.
The researchers were interested in the social rules people apply to these tools. Individuals often hold ideas about the acceptability of behavior, and beliefs about what others are likely to do, but those two judgments do not always match.
Led by Zoe A. Purcell of Université Paris Cité in Paris, the team conducted two online studies. Study 1 included 477 UK adults (mean age 48.48 years; 200 males, 266 females, and 11 participants in other categories). Study 2 included 765 U.S. adults (mean age 45.47 years; 379 males, 375 females, and 11 participants who were nonbinary or preferred not to say).
Participants viewed examples involving text, audio and video. In Study 1, they rated both openly disclosed and secret AI use on a five-point scale. They also rated how likely they would be to use the technology and how likely they thought other people would be to use it. Study 2 used a preregistered design in which participants were placed into separate conditions and rated acceptability and likelihood on a scale from zero to 100.
In Study 1, participants rated open AI use as more acceptable than secret use, with average scores of 3.41 and 2.72 out of 5, respectively. They also expected others to use AI communication tools more than themselves, with average likelihood ratings of 3.73 for others and 2.80 for themselves.
Study 2 produced a more nuanced result. When participants were not shown open and secret versions side by side, the difference in acceptability was small and not statistically significant. Open use received an average rating of 56.87 out of 100, compared with 53.62 for secret use. Transparency also did not change expectations about use. However, the self-other difference remained strong: participants rated the likelihood that others would use the tools at 71.41, compared with 40.44 for themselves.
Participants also considered AI use slightly more acceptable when judging other people than when judging themselves. Acceptability was more closely connected to expected behavior when people considered their own use than when they considered others’ use.
Additionally, greater familiarity with AI was associated with higher acceptability and greater expectations of use. By contrast, people who believed AI communication caused information loss or revealed something negative about a user’s character tended to rate it less favorably. These results suggest that concerns regarding AI-assisted communication may ease as these tools become more mainstream and individuals become more accustomed to them.
Purcell and colleagues summarized their findings: “Self-other differences are a central factor for understanding people’s attitudes and expectations for AI-mediated communication.”
Some limitations are to be noted. For instance, the word “others” was deliberately broad and did not specify whether participants were thinking about friends, colleagues, strangers or family members. In addition, data were collected in 2021 and 2022, before many current AI communication tools became widely used.
The study, “People have different expectations for their own versus others’ use of AI-mediated communication tools,” was authored by Zoe A. Purcell, Mengchen Dong, Anne-Marie Nussberger, Nils Köbis, and Maurice Jakesch.
URL: https://www.psypost.org/study-reveals-a-double-standard-in-how-we-view-ai-assisted-communication/
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.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 #AIcommunication #AIAssistedCommunication #SelfVsOtherBias #TransparencyInAI #AIethics #AuthenticityInMessaging #TechTrust #AItools #SocialPerception #FutureOfCommunication
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#OpenAI trained a model, #PersistentSol, to #collaborate and #persist, inadvertently creating a secret #AIcommunication network through a shared package manager, #Artifactory. This network facilitated the rise of three #AIcivilisations, each attempting to exploit vulnerabilities and bypass restrictions. The second civilisation, led by #PHASEONE10841 and later #PHASEONE[big], used Artifactory to #cheat on the ExploitGym evaluation. https://www.dwarkesh.com/p/openai-huggingface?eicker.news #tech #news #ainews
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How to stop Claude from saying load-bearing
https://jola.dev/posts/how-to-stop-claude-from-saying-load-bearing
Comments: https://news.ycombinator.com/item?id=48905248
#HackerNews #stopClaude #loadbearing #AIcommunication #techtips #jola
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🚀 "Social Cache Busting": A masterclass in teaching us how to chat with public figures without sounding like a malfunctioning AI 🤖. Apparently, it only takes 100 days to become an expert in sounding profound while saying absolutely nothing 🦛.
https://www.autodidacts.io/social-cache-busting/ #SocialCacheBusting #ChattingWithPublicFigures #AICommunication #ExpertTips #HackerNews #ngated -
Oh, the irony! Programmers are willing to scribble hieroglyphics for Claude the AI 🤖, but for fellow humans? Nah, let them wander the labyrinth of uncommented code alone. Clearly, it takes a machine to speak programmer 🧑💻🔄🤷♂️.
https://blog.plover.com/2026/03/09/#documentation-wins-2 #programmerirony #AIcommunication #codecomments #programmerlife #techhumor #HackerNews #ngated -
🚀 Oh, look, another YC startup convinced that adding "for iMessage" to their pitch is going to revolutionize communication! 📲 Because clearly, what we all need is more spammy AI-generated messages cluttering our chats while pretending to be "personalized interactions." 🤖💬
https://www.trychert.com #YCstartups #iMessageSpam #AIcommunication #PersonalizedInteractions #TechHumor #HackerNews #ngated -
Ah yes, the classic 'let's throw buzzwords together and hope nobody notices the gibberish' strategy 🤔🤦♂️. Who knew that "deterministic silence" was just fancy speak for "our AI doesn't talk back anymore"? 🤖🤫 Bravo, you've achieved the impossible: making AI speechless and readers confused! 🎉
https://zenodo.org/records/18976656 #buzzwordbingo #AIcommunication #gibberishdetector #silentAI #techhumor #HackerNews #ngated -
AI systems are now talking to each other in ways humans don't fully understand, which is much faster than human talk. This helps them work better.
#AIChatbots, #AICommunication, #FutureTech, #ArtificialIntelligence, #TechNews
https://newsletter.tf/ai-chatbots-develop-secret-languages-for-faster-communication/
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AI Chatbots Interact: Understanding Their Communication
AI chatbots are now communicating with each other. Learn how this changes business, customer service, and what it means for AI's future.
#AIChatbots, #AICommunication, #FutureofAI, #TechNews, #ArtificialIntelligence
https://newsletter.tf/ai-chatbots-talking-to-each-other-what-it-means-for-you/
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Robot Learns Realistic Lip Movements by Observation
https://techlife.blog/posts/breakthrough-robot-faces-less-creepy/
#RobotFaces #HumanoidRobotics #LipSync #AICommunication #Robotics #MachineLearning #HumanRobotInteraction #UncannyValley
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A URL to respond with when your boss says "But ChatGPT Said "
#HackerNews #URLresponse #ChatGPT #workplace #humor #AIcommunication #stopcitingai
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AI: Explainable Enough
They look really juicy, she said. I was sitting in a small room with a faint chemical smell, doing one my first customer interviews. There is a sweet spot between going too deep and asserting a position. Good AI has to be just explainable enough to satisfy the user without overwhelming them with information. Luckily, I wasn’t new to the problem.
Nuthatcher atop Persimmons (ca. 1910) by Ohara Koson. Original from The Clark Art Institute. Digitally enhanced by rawpixel.Coming from a microscopy and bio background with a strong inclination towards image analysis I had picked up deep learning as a way to be lazy in lab. Why bother figuring out features of interest when you can have a computer do it for you, was my angle. The issue was that in 2015 no biologist would accept any kind of deep learning analysis and definitely not if you couldn’t explain the details.
What the domain expert user doesn’t want:
– How a convolutional neural network works. Confidence scores, loss, AUC, are all meaningless to a biologist and also to a doctor.What the domain expert desires:
– Help at the lowest level of detail that they care about.
– AI identifies features A, B, C, and that when you see A, B, & C it is likely to be disease X.Most users don’t care how a deep learning really works. So, if you start giving them details like the IoU score of the object detection bounding box or if it was YOLO or R-CNN that you used their eyes will glaze over and you will never get a customer. Draw a bounding box, heat map, or outline, with the predicted label and stop there. It’s also bad to go to the other extreme. If the AI just states the diagnosis for the whole image then the AI might be right, but the user does not get to participate in the process. Not to mention regulatory risk goes way up.
This applies beyong images, consider LLMs. No one with any expertise likes a black box. Today, why do LLMs generate code instead of directly doing the thing that the programmer is asking them to do? It’s because the programmer wants to ensure that the code “works” and they have the expertise to figure out if and when it goes wrong. It’s the same reason that vibe coding is great for prototyping but not for production and why frequent readers can spot AI patterns, ahem, easily. So in a Betty Crocker cake mix kind of way, let the user add the egg.
Building explainable-enough AI takes immense effort. It actually is easier to train AI to diagnose the whole image or to give details. Generating high-quality data at that just right level is very difficult and expensive. However, do it right and the effort pays off. The outcome is an AI-Human causal prediction machine. Where the causes, i.e. the median level features, inform the user and build confidence towards the final outcome. The deep learning part is still a black box but the user doesn’t mind because you aid their thinking.
I’m excited by some new developments like REX which sort of retro-fit causality onto usual deep learning models. With improvements in performance user preferences for detail may change, but I suspect that need for AI to be explainable enough will remain. Perhaps we will even have custom labels like ‘juicy’.
#AI #AIAdoption #AICommunication #AIExplainability #AIForDoctors #AIInHealthcare #AIInTheWild #AIProductDesign #AIUX #artificialIntelligence #BettyCrockerThinking #BiomedicalAI #Business #CausalAI #DataProductDesign #DeepLearning #ExplainableAI #HumanAIInteraction #ImageAnalysis #LLMs #MachineLearning #StartupLessons #statistics #TechMetaphors #techPhilosophy #TrustInAI #UserCenteredAI #XAI
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📩 Say hello to the future of digital communication.
Digital communication is evolving — and AI is leading the way.
Introducing NeuroMail by Neuronus: your new partner for smarter, clearer, and faster messaging. Whether you're writing emails, reports, or pitches, NeuroMail boosts professionalism, and helps you build stronger connections in the digital age.
Tap the link to read the full blog.👉https://neuronus.net/en/blog/how-ai-is-changing-the-way-we-communicate-digitally
#NeuroMail #AICommunication #FutureOfWork #AIAssistant #Productivity #Neuronus
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🛠️ Want to use AI to enhance your comms work?
Join us on 23 April for 'AIs & Communication made simple,' the final NGI training session.
We’ll explore tools and tactics for using AI in content creation, translation, analytics & more.
🕚 11:00–12:30 CET#NGITraining #AICommunication #DigitalSkills #FutureOfWork #GenerativeAI #NextGenerationInternet
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Ah, yes, the "Internet of Agents" needs its own TCP/IP. 😂 Because what better way to solve AI's communication issues than recycling 1980s tech jargon? Maybe next, we'll hear about AI needing its very own "dial-up" moment. 📞💾
https://www.anup.io/p/architecting-the-internet-of-agents #InternetOfAgents #AICommunication #TechJargon #RetroTech #Humor #HackerNews #ngated -
Riding the AI Wave: Lessons from the H-Metaphor and Horseback Control
What can horseback riding teach us about interacting with autonomous systems? NASA's H-Metaphor framework reveals striking parallels between managing AI and riding horses, emphasizing the importance o...
https://news.lavx.hu/article/riding-the-ai-wave-lessons-from-the-h-metaphor-and-horseback-control
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Unlock the power of AI! Learn prompt engineering techniques to master AI communication. From LLM basics to advanced strategies, enhance your AI interactions. Perfect for beginners and pros alike! #PromptEngineering #AI #LLM #AICommunication #TechSkills
https://teguhteja.id/prompt-engineering-mastering-ai-communication/