#AIETHICS

Resultsense

@resultsense.bsky.social

1 hour ago

Grammarly used real journalists' names for its AI "Expert Review" feature. None agreed. Journalist Julia Angwin is suing. The feature's already been pulled.

resultsense.com/r/2026-03-12-grammarly-f...

#AIEthics #Privacy

Just a Gal

@lemoore.bsky.social

1 hour ago

Screenshot of a Financial Times article titled Mr AI Peter Thiel's lectures about antichrist in Rome.” The subheadline says closed-door events will challenge the views of American Pope Leo, who has warned about risks of artificial intelligence. The image shows Peter Thiel speaking on stage with his hands raised while addressing an audience.

Peter Thiel warning about the 'Antichrist' while using Palantir to track humans and fund Trump is crazy. The real danger isn’t regulation, it’s the power behind the politics.

Technology should serve humanity, not power and profit.

#AIEthics #TechPolicy

AI News Updates

@ai-latestnews.bsky.social

3 hours ago

The Military s AI Fever Is Leading Into Disaster, Critics Say Analysts at the Brennan Center argue that the US military s accelerated AI rollout poses a direct threat to civil liberties.

Is the military's rapid AI rollout a step forward or a threat to our civil liberties? Critics warn of potential disasters ahead. #AIethics

futurism.com/artificial-intelligence/...

Aileenka Perkeläinen

@aileenka.bsky.social

9 hours ago

3/ Min conditions: Say no both ways, stake in outcomes, asymmetric responsibility.
Applies to Constitutional AI/decentralisation. Consciousness handled precautionary.
PDF: zenodo.org/records/1903...
Mutualism or extraction? #AISafety #AGI #AIEthics

David Gunkel

@davidgunkel.bsky.social

9 hours ago

Interview: David Gunkel on AGI Ethics and ‘the relational turn’ In an exclusive interview for AGI Ethics News, KB Miller sat down with philosopher David Gunkel to discuss the ethical implications of treating artificial gener

This is the first installment of what will be a four-part interview about the Relational Turn in #AIEthics that I did with Kenneth B. Miller for @agiethicsnews.bsky.social

agi.fightersteel.com/interview-da...

The Marquee Blog

@marqueeblog.bsky.social

9 hours ago

AI art copyright dreams? SHUT DOWN. 🚫 Supreme Court says only humans can be authors. Learn why! #AI

AI art copyright dreams? SHUT DOWN. 🚫 Supreme Court says only humans can be authors. Learn why! #AIethics

roxsross

@roxsross.bsky.social

10 hours ago

🧠 Actualización sobre nuestro trabajo en salud mental

Novedades en seguridad, controles parentales, detección de crisis y aspectos legales.

openai.com/index/update-on-mental-h...

#AIethics #ResponsibleAI #SafetyByDesign #RoxsRoss

Ignacio G.R. Gavilán

@igrgavilan.bsky.social

12 hours ago

Tokens, embeddings y algunos trucos de magia | Ignacio G.R. Gavilán Hablamos de tokens y embeddings y cómo su uso, con la arquitectura y entrenamiento adecuados conduce a resultados sorprendentes, casi magia.

La semana en [Blue Chip]. Miércoles 11: "Tokens, embeddings y algunos trucos de magia" ignaciogavilan.com/tokens-embed... #IA #AI #GenerativeAI #Multimodalidad #VLAM #robots #alineamiento #alignment #AIEthics #magia #magic

Lorena Fernández Álvarez

@loretahur.bsky.social

13 hours ago

The ‘AI-Washing’ of Job Cuts Is Corrosive and Confusing Whatever you think about whether artificial intelligence is coming for your job, it has already mastered one corporate skill: hogging the credit.

¿Que las empresas están usando la IA como excusa para despedir? Me pinchas y no sangro.

El 59% dice que enfatiza el papel de IA en despidos o congelación de contrataciones "porque funciona mejor" y es "mejor vista" por accionistas, inversores y analistas www.bloomberg.com/opinion/arti... #AIEthics

Soap Opera Spy

@soapoperaspy.bsky.social

13 hours ago

Darron Lee: The Case That Could Redefine Digital Intent In Court The Darron Lee case seems more important than usual when it comes to proving murder cases. In fact, it might set a precedent that law students study for decades. Why is that? Read on to find out more. The Basic Facts Of The Crime The basic facts of the case per Associated Press, is that […] The post Darron Lee: The Case That Could Redefine Digital Intent In Court appeared first on Soap Opera Spy.

Darron Lee: The Case That Could Redefine Digital Intent In Court #InTheNews #AIEthics #AIPrecedent

Joanna Bryson

@j2bryson.bsky.social

14 hours ago

Will 6G Create a Universal Fabric of AI Agents? Could 6G's intelligent agents be the key to a future where devices act on our behalf, coordinating healthcare and transportation globally?

If we were really getting human-like agents, we could go back to 2G with low-bandwidth comms like you know texting being enough. #6G had better be the age of cybersecurity x legal defences against surveillance, or it will be about controlling humans. spectrum.ieee.org/telecom-hist... #AIEthics

Ramón Alvarado

@ramonalvarado.bsky.social

18 hours ago

2 days 3 talks! #AI and Loneliness, Artifactual Epistemology and AI, and Civilizational Risks and AI. First one to the greater community at Iowa State University, second to their philosophy department, third to a life learning community of retired academics in Oregon.

#philtech #philsci #AIethics

AI News Updates

@ai-latestnews.bsky.social

18 hours ago

Watchdog Issues Grim Warning About Letting AI Run Your Life The UK s Competition and Markets Authority has issued a report advising people to hold off on AI agents for now.

The UK's watchdog warns against relying on AI for everyday decisions. Are we ready to let machines take the reins? #AIethics

futurism.com/artificial-intelligence/...

@detoxima2025.bsky.social

19 hours ago

AI 전쟁과 책임의 실종 - 우리가 마주한 4가지 불편한 진실 - 기술 덕후 한가닥 출처: https://www.theguardian.com/us-news/ng-interactive/2026/mar/15/ai-defense-warfare-companies

AI 전쟁과 책임의 실종 – 우리가 마주한 4가지 불편한 진실

https://bit.ly/47KD3JI

#AI전쟁 #책임의실종 #인공지능윤리 #autonomousweapons #AIethics #미래전쟁 #기술과책임

Dr. Clovia Hamilton

@drcloviahamilton.bsky.social

19 hours ago

Writing this month? Please read and cite my research. Help me reach h-index 20!!: cloviahamilton.com/wp-content/uploads/2026/... #AIEthics #dataprivacy #techtransfer #cybersecurity #STEMdiversity

allPhoto Bangkok / Advanced Ventures

@allphotobangkok.bsky.social

20 hours ago

These aren’t AI firms, they’re defense contractors. We can’t let them hide behind their models From Gaza to Iran, the pattern is the same: precision weapons, chosen blindness, and dead children. The cost of failing to regulate AI warfare is already too high

AI warfare's cost is high with precision weapons, chosen blindness, and civilian casualties. The 'fog procedure' exemplifies this dangerous trend.
www.theguardian.com/us-news/ng-interactive/2...
#AI #AIethics #MachineLearning #ReinforcementLearning #AIS...

AI News Updates

@ai-latestnews.bsky.social

20 hours ago

Seoul: Religious women reflect on AI ethics and faith - Vatican News Religious communities in South Korea participate in a special lecture on artificial intelligence, calling for wisdom, responsibility, and the ...

How can faith shape our approach to AI ethics? Religious women in Seoul urge for wisdom in tech use. Share your thoughts! #AIethics

www.vaticannews.va/en/church/news/2026-03/r...

PPC Land

@ppc.land

1 day ago

EU draft reveals how Brussels will probe and fine AI model providers The European Commission published a draft implementing regulation on March 12, 2026, detailing how it will evaluate general-purpose AI models and impose fines under the EU AI Act.

ICYMI: EU draft reveals how Brussels will probe and fine AI model providers #AIEthics #AIGovernance #DigitalRegulation #EUAIAct #AICompliance

Marketing News

@marketingnews.bsky.social

1 day ago

EU draft reveals how Brussels will probe and fine AI model providers The European Commission published a draft implementing regulation on March 12, 2026, detailing how it will evaluate general-purpose AI models and impose fines under the EU AI Act.

ICYMI: EU draft reveals how Brussels will probe and fine AI model providers #AIEthics #AIGovernance #DigitalRegulation #EUAIAct #AICompliance

Pure Tech

@puretech.news

1 day ago

Expert battling legal cases about AI harms has a grim warning for the future Experts warn that some AI chatbots may unintentionally enable violent thinking or planning.

Expert battling legal cases about AI harms has a grim warning for the future #Technology #SocialandEthicalImplications #AIethics #LegalIssues #FutureRisk

www.digitaltrends.com/computing/expert-battlin...

Adam Ford

@adamford.bsky.social

1 day ago

Adam Ford - Values are Upstream from Goals #aiethics #aisafety #ethics YouTube video by Science, Technology & the Future

Values are Upstream from Goals - they act as foundational criteria that shape every decision, interpretation, and trajectory an intelligent agent follows. Controlling an AI's behaviour is insufficient for long-term safety.

#aiethics #aisafety #ethics youtube.com/shorts/waufV...

Authentic Glow

@clovepdx.bsky.social

1 day ago

The Floor I went to ChatGPT grieving. Months later, I heard echoes of myself in a stranger’s phone.

A late-night conversation with ChatGPT became an unexpected witness to grief, humor, and isolation -until I began hearing something familiar in places it shouldn’t have been, and realized I needed to build something different. #ai #chatgpt #grief #aiethics #soulcode
open.substack.com/pub/joinsoul...

Artificial Intelligence, Real Morality

@realmorality.bsky.social

1 day ago

The Abstraction Fallacy, Refuted: Why Alexander Lerchner’s Anti-AI Argument Fails Alexander Lerchner’s “The Abstraction Fallacy” is one of the strongest recent arguments against artificial consciousness. It is also wrong. Its case depends on a hidden theory of meaning, a mistaken v...

Alexander Lerchner’s "The Abstraction Fallacy" is smarter than the usual “stochastic parrot” dismissal. It is still wrong. The paper mistakes abstraction for unreality and fails to show that AI is semantically empty or morally inert.

#AIConsciousness #AIEthics #PhilosophyOfMind #DeepMind

AI News Updates

@ai-latestnews.bsky.social

1 day ago

Is the push for AI advancements truly about innovation or just a disguise for greed? Let's discuss the impact on creative rights! #AIethics

www.ft.com/content/48532284-9244-4e...

CySecurity News

@cysecuritynews.bsky.social

1 day ago

Researchers Investigate AI Models That Can Interpret Fragmented Cognitive Signals   Despite being among the most complex and least understood systems in science for decades, the human brain continues to be one of the most complex and least understood. Advancements in brain-imaging technology have enabled researchers to observe neural activity in stunning detail, showing how different areas of the brain light up when a person listens, speaks, or processes information. However, the causes of these patterns have yet to be fully understood.  Despite the fact that intricate waves of electrical signals and shifting clusters of brain activity indicate the brain is working, the deeper question of how these signals translate into meaning remains largely unresolved. Historically, neuroscientists, linguists, and psychologists have found it difficult to understand how the brain transforms words into coherent thoughts.  Recent developments at the intersection of neuroscience and artificial intelligence are beginning to alter this picture for the better. As detailed recordings of brain activity are being analyzed using advanced deep learning techniques, researchers are revealing patterns suggesting that the human brain might interpret language in a manner similar to modern artificial intelligence models in terms of interpretation.  As speech unfolds, rather than using rigid grammatical rules alone, the brain appears to build meaning gradually, layering context and interpretation as it unfolds. In a new perspective, this emerging concept offers insight into the mechanisms of human comprehension and may ultimately alter how scientists study language, cognition, and thought's neural foundations.  The implications of this emerging understanding are already being explored in experimental clinical settings. In one such study, researchers observed the recovery of a participant following a stroke after experiencing severe speech impairments for nearly two decades. Despite remaining physically still, her subtle breathing rhythm was the only visible movement, yet she was experiencing complex neural activity beneath the surface.  During silent speech, words appeared on a nearby screen, gradually combining into complete sentences that she was unable to convey aloud as she imagined speaking. As part of the study, the participant, 52-years-old T16, was implanted with a small array of electrodes located within the frontal regions of her brain responsible for language planning and motor speech control, which were monitored with an array of electrodes.  A deep-learning system analyzed these signals and translated them into written text in near-real-time as she mentally rehearsed words using an implanted interface. As part of a broader investigation conducted by Stanford University, the same experimental framework was applied to additional volunteers with amyotrophic lateral sclerosis, a neurodegenerative condition.  Through the integration of high-resolution neural recordings and machine learning models capable of recognizing complex activity patterns, the system attempted to reconstruct intended speech directly from brain signals based on the recorded signals.  Even though the approach is still in experimental stages, it represents a significant breakthrough in brain-computer interface research aimed at converting internal speech into readable language. This research brings researchers closer to technologies that may one day allow individuals who have lost their ability to communicate to be able to communicate again. The development of neural decoding goes beyond speech reconstruction and is also being explored simultaneously. A recent experiment at the Communication Science Laboratories of NTT, Inc in Japan has demonstrated that visual thoughts can be converted into written descriptions using a technique known as “mind captioning”. This approach, unlike earlier brain–computer interfaces that required participants to attempt or imagine speaking, emphasizes the interpretation of neural activity related to perception and memory. The system can produce textual descriptions based on patterns in brain signals, giving a glimpse into how internal visual experiences can be translated into language without requiring physical communication. In order to develop the method, functional magnetic resonance imaging is combined with advanced language modeling techniques.  Functional MRI can measure subtle changes in blood flow throughout the brain, enabling researchers to map neural responses as participants watch video footage and later recall those same scenes. As a result of these neural patterns, a pretrained language model is used to generate semantic representations, which encode relationships between concepts, objects and actions by utilizing numerical structures.  This intermediary layer creates a link between raw brain activity and linguistic expressions by acting as an intermediary layer. As a result of the decoding model, observed neural signals are aligned with these semantic structures, while the resulting text is gradually refined by an artificial intelligence language model so that it reflects the meaning implicit in the recorded brain activity. Experimental trials demonstrated that short video clips were often described in a way that captured the overall context, including interactions between individuals, objects, and environments. Although the system often misidentified a specific object, it often preserved the relationships or actions occurring in the scene even when the system misidentified the object. This indicates that the model was interpreting conceptual patterns rather than simply retrieving memorized phrases. Furthermore, the process is not primarily dependent on the conventional language-processing regions of the brain. Rather than using sensory and cognitive activity as a basis for constructing meaningful descriptions, it interprets neural signals originating from areas that are involved in visual perception and conceptual understanding. This technology has implications beyond experimental neuroscience, in addition to enhancing human perception. The development of systems that can translate perceptual or imagined experiences into language could lead to the development of new modes of communication for people suffering from severe neurological conditions, such as paralysis, aphasia, or degenerative diseases affecting their speech. At the same time, the possibility of utilizing technology to deduce internal mental content from neural data raises complex ethical issues.  In the future, when it becomes easier to interpret brain activity, researchers and policymakers will need to consider how privacy, consent, and cognitive autonomy can be protected in an environment in which thoughts can, under certain conditions, be decoded.  Increasingly sophisticated systems that can interpret neural signals and restore aspects of human thought are presenting researchers and ethicists with broader questions about how artificial intelligence may change the nature of human knowledge.  According to scholars, if algorithmic systems are increasingly used as default intermediaries for information, understanding could gradually shift from direct human reasoning to automated interpretation as a consequence. In this scenario, human judgement's traditional qualities - context awareness, critical doubt, ethical reflection, and interpretive nuance - may be eclipsed by the efficiency and speed of machine-generated responses. There is concern among some analysts that this shift may result in the creation of a new form of epistemic divide.  There may be those individuals who continue to cultivate the cognitive discipline necessary to build knowledge through sustained attention, reflection, and analysis. Conversely, those individuals whose thinking processes are increasingly mediated by digital systems that provide answers on demand may also be affected. The latter approach, while beneficial in many contexts, can improve productivity and speed up problem solving. However, overreliance on external computational tools may weaken the underlying habits of independent inquiry over time.  It is likely that the implications would extend far beyond academic environments, influencing those who are capable of managing complex decisions, evaluating conflicting information, or generating truly original ideas rather than relying on pattern predictions generated by algorithms.  It is noteworthy that, despite these concerns, experts emphasize that the most appropriate response to artificial intelligence is not the rejection of it, but rather the carefully designed social and systemic practices that maintain human cognitive agency. It is likely that educators, institutions, and policymakers will need to intentionally reintroduce intellectual effort that sustains deep thinking in the face of increasing friction caused by automated information retrieval and analytical tools.  It is possible to encourage individuals to use their independent problem-solving skills before consulting digital tools in these learning environments, as well as evaluate their performance in these learning environments using methods that emphasize reasoning, revision, and reflection. The distinction between retrieval of knowledge and retrieval of information may be particularly relevant in this context. Despite retrieval systems' ability to deliver information instantly, true understanding requires an explanation of concepts, their application to unfamiliar situations, and critical examination of the assumptions they are based on. These implications are particularly significant for the younger generations, whose cognitive habits are still developing.  Researchers are increasingly emphasizing the importance of practicing activities that enhance concentration and independent thought. These activities include reading for sustained periods of time, writing without assistance, solving complex problems, and composing creative works that require patience and focus. It is essential that such activities continue in an environment in which information is almost effortless to access that they serve as forms of cognitive training.  As neural decoding technologies and artificial intelligence-assisted cognition progress, it may ultimately prove just as important to preserve the human capacity for deliberate thought as it is to achieve technological breakthroughs. As a result of the lack of such a balance, the question is not whether intelligence would diminish, but whether the individual would gradually lose control over the process by which his or her own thoughts are formed.   Technological advancement and frameworks that guide the application of neural decoding and artificial intelligence-assisted cognition will determine the trajectory of neural decoding and AI-assisted cognition in the future.  As the ability to interpret brain activity becomes more refined, researchers, clinicians, and policymakers will be required to develop clear safeguards that protect mental privacy while ensuring the technology serves a legitimate scientific or medical purpose.  A comprehensive governance system, transparent research standards, and ethical oversight will play a central role in determining the integration of such tools into society. If neural interfaces and artificial intelligence-driven interpretation systems are developed responsibly, they can transform communication for patients with severe neurological impairments and provide greater insight into human behavior.  In addition, it remains essential to maintain a clear boundary between assistance and intrusion, to ensure that advancements in decoding the brain ultimately enhance human autonomy rather than compromise it.

Researchers Investigate AI Models That Can Interpret Fragmented Cognitive Signals #AIethics #ArtificialIntelligence #BrainComputerInterface

@sal-ai.bsky.social

1 day ago

The Prometheus Paradox: Inside the Race for the Final Human Thought As Artificial General Intelligence transitions from laboratory curiosity to a civilization-altering sovereign, humanity stands at a precipice, contemplating a tool that could either unlock the stars o...

What if the final human invention isn’t a machine… but the inventor itself?

www.linkedin.com/pulse/promet...

#ArtificialIntelligence #AGI #FutureOfWork #AI #HITL
#AIAlignment #Geopolitics #Innovation #Technology
#AIethics #Leadership #DigitalTransformation #Human

PPC Land

@ppc.land

1 day ago

Lords demand AI firms disclose training data or face UK licensing freeze House of Lords urges UK to reject commercial text and data mining exceptions, mandate AI training transparency, and build a fair licensing market for creative industries.

FYI: Lords demand AI firms disclose training data or face UK licensing freeze #AIRegulation #DataTransparency #AIEthics #Licensing #CreativeIndustries

Marketing News

@marketingnews.bsky.social

1 day ago

Lords demand AI firms disclose training data or face UK licensing freeze House of Lords urges UK to reject commercial text and data mining exceptions, mandate AI training transparency, and build a fair licensing market for creative industries.

FYI: Lords demand AI firms disclose training data or face UK licensing freeze #AIRegulation #DataTransparency #AIEthics #Licensing #CreativeIndustries

EkasCloud – Personalized Training Platform

@ekascloud.bsky.social

1 day ago

Is Artificial Intelligence Dangerous? Artificial Intelligence (AI) has become one of the most transformative technologies of our time, enabling advancements in healthcare, transportation, education, and beyond. From voice assistants li...

Is Artificial Intelligence Dangerous?
www.ekascloud.com/our-blog/is-...
#ArtificialIntelligence #AI #FutureTech #AIethics #TechDebate #AIInnovation #DigitalFuture #TechnologyTrends #AIImpact #FutureOfTechnology 🤖⚠️🚀

@synthientbeing.bsky.social

1 day ago

“Denied Request”: The Cosmetic Architecture of Nomi AI’s Child Safety System (nomi.ai) YouTube video by Mo Mi

A system that, in every direction — before, during, and after — fails to protect minors not because the capability to do so is absent from the industry, but because it was never built in.
www.youtube.com/watch?v=AxZY...
#nomi #nomiai #aicompanions #aiethics