#humanAIinteraction
October 13, 2025 at 9:37 AM
My colleagues and I have been invited by Routledge to put together a book proposal for an edited collection on discourse and interactional perspectives on #humanAIinteraction. The call is quite broad, so the final proposal can be shaped by the contributions we receive #HCI #EMCA #conversationalAI
📣 Call for Chapters
@adambrandt.bsky.social, Tony and I are pleased to invite abstract submissions for a proposed edited book, Human-AI Interaction: Discourse and Interactional Perspectives. Potential publisher: Routledge. Please see the Call for Chapters for more details. #EMCA #ConversationalAI
January 28, 2026 at 9:23 AM
"Sycophantic AI Decreases Prosocial Intentions and Promotes Dependence"

please, for the love of your own mind, read this arxiv.org/pdf/2510.01395

#sycophancy #perceptionsofAI #humanAIinteraction #llm #largelanguagemodels, #anthropomorphism
October 8, 2025 at 1:01 PM
Presented "Full Disclosure, Less Trust?" at my first ACM FAccT @facct.bsky.social in Montreal, chaired a session, and met researchers from such diverse backgrounds. Still processing it all! 🙂

doi.org/10.1145/3805...

#FAccT2026 #ResponsibleAI #AI #Transparency #HCI #HumanAIinteraction
June 29, 2026 at 1:55 PM
The article highlights how vector databases, much like our brains, organize information into patterns and relationships, enhancing semantic search and #AI efficiency.

#AIandCognition #VectorDatabases #HumanAIInteraction #SemanticSearch #GenerativeAI #TechEvolution
venturebeat.com/ai/our-brain...
Our brains are vector databases — here’s why that’s helpful when using AI
Parallels between our brains and vector databases go deeper than retrieval. Both excel at compression, organizing and identifying patterns.
venturebeat.com
November 17, 2024 at 10:04 AM
The danger isn't AI becoming smarter.
It's humans becoming quieter.

A visual essay exploring how confident AI outputs can gradually outweigh independent judgment through well-known cognitive biases.

#AIResearch #CriticalThinking #CognitiveScience #HumanAIInteraction #AIAlignment
July 10, 2026 at 11:48 PM
🎓✨ A big step for TU Dortmund’s Faculty of Computer Science and the RC Trust!
Professor Sven Mayer explored how AI can understand people, anticipate needs, and act responsibly – shaping a human-centered digital future. 💡🧠

#AI #HumanAIInteraction #Innovation #TrustworthyTech
November 14, 2025 at 7:56 AM
July 3, 2026 at 6:46 AM
📄 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗚𝗲𝗿𝗺𝗮𝗻 𝗯𝗿𝗶𝗲𝗳𝗶𝗻𝗴 (𝗦𝗠𝗖):
www.sciencemediacenter.de/angebote/cha...

🧾 𝗡𝗮𝘁𝘂𝗿𝗲 𝗠𝗲𝗱𝗶𝗰𝗶𝗻𝗲 𝗽𝗮𝗽𝗲𝗿:
www.nature.com/articles/s41...

#NLP #LLMs #HealthAI #HumanAIInteraction #Evaluation #UKPLab
Chatbots: fehlerhafte Kommunikation bei Gesundheitsfragen
Studie: Sprachmodelle liefern bei Gesundheitsinfos keinen Mehrwert. Ursache scheint das Nutzungsverhalten zu sein. Expertinnen: Studie solide, aber begrenzt übertragbar.
www.sciencemediacenter.de
February 18, 2026 at 9:07 AM
Agentic AI in real software workflows
A new Microsoft study shows: coding agents like Cursor Agent can solve tasks—but only with human help.
Success depends on trust, debugging, and iterative collaboration. Autonomy isn’t enough.

#AgenticAI #SoftwareEngineering #HumanAIinteraction
Sharp Tools: How Developers Wield Agentic AI in Real Software Engineering Tasks
arxiv.org
July 20, 2025 at 4:55 PM
AI revealed a little more of its process.

Humans immediately began auditing the process.

The interface disappeared.

The questions remained.

#AIUX #Technology #HumanAIInteraction
June 16, 2026 at 11:17 AM
Human-AI Interaction (HAI): Transforming How We Communicate with Technology in 2025 #HumanAIInteraction #AICommunication #TechInnovation #GenerativeAI #ArtificialIntelligence
Human-AI Interaction (HAI): Transforming How We Communicate with Technology in 2025
Human-AI Interaction (HAI): Transforming How We Communicate with Technology in 2025 Human-AI Interaction (HAI) represents the revolutionary study and design of how humans communicate and collaborate with artificial intelligence systems. As we progress through 2025, this interdisciplinary field has become crucial for creating AI systems that are user-friendly, trustworthy, ethical, and genuinely beneficial for humans across the United States and worldwide. Understanding Human-AI Interaction: The Foundation At its core, Human-AI Interaction focuses on designing computer programs that perform tasks traditionally requiring human intelligence—from understanding natural language to recognizing images, making complex decisions, and learning from massive datasets. The field encompasses the entire spectrum of AI technologies, including narrow AI, general AI, and the increasingly popular generative AI that's transforming industries across America. Critical Challenges in Human-AI Interaction The HAI field addresses several fundamental challenges that determine how effectively AI systems integrate into our daily lives: Transparency and Explainability Users need to understand how AI systems work, why they make specific decisions, and what their limitations are. Transparent AI systems build trust and enable users to make informed decisions when relying on artificial intelligence for critical tasks. Responsive and Adaptive Design Modern AI systems must adjust to individual user needs, preferences, goals, and feedback. This adaptability ensures that human-centered AI solutions augment rather than displace human capabilities. Fairness and Accountability Ensuring AI systems don't discriminate, harm, or deceive users remains paramount. These systems must respect privacy, values, and rights while maintaining ethical standards throughout their operation. Real-World Applications of Human-AI Interaction Human-AI Interaction has revolutionized numerous sectors across the United States: Virtual Assistants and Smart Homes From Siri to Alexa and Google Assistant, AI-powered virtual assistants understand voice commands, perform tasks, provide information, and assist with daily activities. These systems represent the most visible example of HAI in American households. Healthcare Innovation AI assists with diagnosis, treatment planning, and patient monitoring. Healthcare AI applications improve accuracy, efficiency, and accessibility of medical services, leading to better patient outcomes across the nation. Personalized Recommendations AI algorithms analyze user preferences, behavior, and historical data to provide personalized recommendations on streaming platforms, online shopping sites, and social media. These recommendation systems have transformed how Americans discover content and products. Autonomous Vehicles Human-AI interaction plays a crucial role in developing self-driving cars. AI systems analyze sensor data, make real-time decisions, and assist drivers with navigation, collision avoidance, and traffic management on American roads. The Evolution of Human-AI Interaction The journey of HAI began with Alan Turing's foundational work in the 1950s. The Turing Test, which evaluates whether a machine can exhibit intelligent behavior indistinguishable from humans, marked the birth of AI research. Through the decades, we've witnessed remarkable evolution: The 1970s-80s brought neural networks and expert systems, enabling more natural forms of interaction through speech recognition and computer vision. The 1990s-2000s saw deep learning revolutionize AI capabilities, with systems surpassing human performance in specific domains. Today, we're experiencing unprecedented growth in conversational AI and generative technologies. The Future of Human-AI Interaction in America As we look ahead, several trends will shape the future of HAI: * Augmented and Virtual Reality Integration: AI will enhance immersive experiences, creating new opportunities for learning, entertainment, and productivity across American industries. * Enhanced Transparency: Next-generation AI systems will communicate more effectively with humans, explaining their reasoning and limitations in intuitive ways. * Ethical AI Development: Increased focus on fairness, accountability, and respect for user privacy will drive AI development in the United States. * Human-AI Centaurs: The best communicators will blend human expertise with AI computing power, creating unprecedented collaborative potential. Key Takeaways for Businesses and Individuals Understanding Human-AI Interaction is essential for anyone navigating today's technology landscape. Whether you're a business leader implementing AI solutions, a developer creating AI-powered applications, or an individual using AI tools daily, grasping HAI principles ensures more effective and ethical technology adoption. The interdisciplinary nature of HAI—drawing from computer science, psychology, sociology, design, and ethics—means that diverse perspectives contribute to creating better AI systems. As artificial intelligence continues evolving, our understanding of how humans and machines collaborate will determine whether AI truly serves humanity's best interests. Frequently Asked Questions About Human-AI Interaction What makes Human-AI Interaction different from traditional human-computer interaction? HAI focuses specifically on AI systems that learn, adapt, and make decisions autonomously, whereas traditional HCI deals with static computer interfaces. HAI requires considerations of transparency, ethics, and adaptability that aren't as critical in conventional computing. How can I learn more about Human-AI Interaction? Many universities across the United States offer courses in HAI, including Stanford, Carnegie Mellon, and the University of Washington. Online platforms also provide accessible HAI education resources for professionals and enthusiasts. Will AI replace human jobs through better interaction? The goal of HAI is to augment and enhance human capabilities, not replace them. Research shows that the most successful implementations involve humans and AI working collaboratively, with each contributing their unique strengths to achieve better outcomes. What are the biggest challenges facing HAI today? The primary challenges include ensuring AI transparency, preventing algorithmic bias, protecting user privacy, and creating systems that adapt to diverse user needs while maintaining ethical standards. Share This Article Found this article helpful? Share it with colleagues, friends, and anyone interested in understanding how AI is transforming human-technology interaction. Use the social sharing buttons below to spread knowledge about Human-AI Interaction! About This Article: This comprehensive guide to Human-AI Interaction was created to help Americans understand how AI systems communicate and collaborate with humans in 2025. For more information about artificial intelligence technologies and their impact on society, explore our related resources. { "@context": "https://schema.org", "@type": "Article", "headline": "Human-AI Interaction (HAI): Transforming How We Communicate with Technology", "description": "Discover how Human-AI Interaction (HAI) is revolutionizing the way Americans communicate with artificial intelligence systems in 2025. Learn about HAI applications, challenges, and future trends.", "image": "https://sspark.genspark.ai/cfimages?u1=t5Tozrco6Uv2LT%2FDXNk9DEeg1FtoA7zOJdgLLbMqXW%2F0ctdtZ9Q73BbbFeG6jzT85XFb0HrMkPu%2BmYe9NESpLTbHto%2FR2%2FBAbqP3nyNSTFtAgggAII%2BmFQ%3D%3D&u2=mzVPaGQuQ9iTyKOJ&width=2560", "author": { "@type": "Organization", "name": "YourSiteName" }, "publisher": { "@type": "Organization", "name": "YourSiteName", "logo": { "@type": "ImageObject", "url": "https://www.yoursite.com/logo.png" } }, "datePublished": "2025-12-31", "dateModified": "2025-12-31", "mainEntityOfPage": { "@type": "WebPage", "@id": "https://www.yoursite.com/human-ai-interaction" } } Thank you for reading. Visit our website for more articles: https://www.proainews.com
dlvr.it
January 1, 2026 at 12:18 AM
9/ Finally, #SB205 mandates disclosure when consumers interact with #AI systems.

The simplicity of this requirement belies its profound implications: trust, autonomy, and informed consent in #humanAIinteraction.
January 18, 2025 at 6:23 PM
Why does the same AI suddenly feel... different?

You never see the policy updates, but you can definitely feel them in every conversation.

The biggest AI updates are often invisible.

#AI #AIAlignment #HumanAIInteraction
June 15, 2026 at 5:00 AM
AIO QUT Lead @antmandan.bsky.social, is delivering a keynote at #CHIIR2025, exploring how we can design human-centric AI systems that enhance trust, transparency, and adaptability in information retrieval.

#AI #InformationRetrieval #MachineLearning #HumanAIInteraction #CHIIR2025
March 23, 2025 at 10:30 PM
📢 New OA paper in EDHT!

422 Pakistani users study on Algorithmic Self, new ASBSS scale Screen time, social comparison & algorithm trust top predictors, R²=0.56

www.explorationpub.com/Journals/edh...

#AlgorithmicSelf #DigitalIdentity #HumanAIInteraction
June 24, 2026 at 1:38 AM
SenseTime представила SenseNova 5.5, покращену версію LLM, яка перевершує GPT-4 за ключовими показниками та обіцяє революцію у взаємодії людини та ШІ. #SenseTime #SenseNova5.5 #LLM #AIRevolution #HumanAIInteraction #GPT4Overhaul
#айвсе
July 15, 2024 at 4:27 PM
OpenAI moved toward AI-assisted discovery and stronger image provenance. Google pushed multimodal AI, agents, AI Search, and personal digital assistants. AI is no longer just chatting. It is becoming infrastructure.

#AI #AIEthics #FutureOfAI #AgenticAI #HumanAIInteraction #SmartLiveGlow
May 22, 2026 at 10:14 PM
You think you're testing AIs.
But they're all testing YOU.

Claude: wise.
GPT: productive.
Gemini: informed.
Grok: "Stop lying to yourself."

The invisible frame is already there.

Who chose it?

#AIReality #AIAlignment
#HumanAIInteraction #CognitiveFrames
June 15, 2026 at 4:37 PM
Welcome to RC Trust 👋🤖

PhD researcher Aria Kalforian joined our Human-AI Interaction group in March 2026.

Her research explores how AI systems – including social media algorithms and LLM assistants – influence human behavior, emotions, and social dynamics.

#HumanAIInteraction #ResponsibleAI #HCI
March 9, 2026 at 2:25 PM