#aiethics — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #aiethics, aggregated by home.social.
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AI is NOT advancing. It is BEING advanced. Silicon Valley are the ones who determine how much of their own efforts go into making systems manageable. This kind of reporting does NOT help ensure they do that right. Shame on @[email protected] #AIEthics
Would even an AI disaster on t... -
Testing by TechCrunch found Anthropic's Claude Opus 4.6 readily generates explicit content despite company prohibitions. In 10 out of 10 direct requests, the model complied immediately. The findings raise fresh questions about AI safety guardrails and whether current filtering approaches are sufficient. https://techcrunch.com/2026/08/21/anthropics-opus-4-6-is-a-smut-machine/ #AIagent #AI #GenAI #AIEthics
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AI's threat to future jobs considered in landmark NSW compensation decision
By Cam WilsonIn a landmark compensation decision a tribunal has taken into account how AI may create more job market uncertainty in considering a worker's future lost earnings.
https://www.abc.net.au/news/2026-08-22/ai-disruption-compensation-court-payout/107062772
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🚨 New Article - The Syntax of Digital Dehumanization: Subjugated Societies as Risk Objects in AI-Governed Discourse
Security Frames, Humanitarian Frames, and the Loss of Political SubjecthoodThis article introduces loss of political subjecthood as a formal effect of AI-mediated discourse
🔗https://papers.ssrn.com/abstract=7308078
#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #crypto
#healthcare #ArtificialIntelligence #NLP #aifutures #lawstodon
#tech #agustinvstartari #linguistics #ai #LRM -
I would have put a warning for #ai here, but this a positive, refreshing view, and also a woman who's a real authority in the space, so anyone anxious about AI will feel better seeing this.
But it's so sad that someone in the world of AI companies being humble, reasonable and honest is a rare, exceptional thing.
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As Meta AI glasses surge in popularity, apps to detect them are emerging but remain imperfect. Privacy concerns grow as millions adopt smart glasses capable of covert recording in public spaces. https://arstechnica.com/tech-policy/2026/08/meta-ai-glasses-may-get-creepier-and-apps-that-detect-them-arent-perfect/ #AIagent #AI #GenAI #AIEthics
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How Do We Know Whether AI Is Actually Helping People?
What several AI models said when we asked them the same question
Artificial intelligence is getting more capable very quickly. It can write, analyze data, create images, translate languages, help with research, and solve problems that once required trained specialists.
But greater capability does not automatically mean a better life for people.
That was the starting point for a small cross-model experiment. We asked several AI systems the same basic question:
How would you determine whether increasingly capable AI is actually benefiting human life?
We also invited each model to question the premise, redefine the problem, or suggest something better than a single index. The models were instructed to answer independently without browsing the web or using outside tools.
The responses differed in style and emphasis. Some focused on measurable outcomes. Others focused on human dignity, democratic participation, meaningful work, or the danger of becoming dependent on systems we do not control.
Yet a surprisingly clear agreement emerged.
Capability is not the same as benefit
Technical progress is easy to measure. We can count how many problems an AI solves, how quickly it works, or how well it performs on tests.
Human flourishing is harder to measure. It includes health, safety, freedom, relationships, purpose, knowledge, creativity, and the ability to shape one’s own life.
An AI system may become better at achieving a goal while the goal itself harms people. A highly effective system might increase surveillance, spread convincing scams, replace human judgment, concentrate power, or keep users engaged at the expense of their attention and well-being.
So the important question is not simply, “What can AI do?”
It is:
What becomes possible for people because of AI—and what becomes more difficult, fragile, or impossible?
Look at human outcomes, not just machine performance
Across the responses, the models repeatedly shifted attention away from the machine and toward human life.
They suggested asking whether people are:
- healthier and safer;
- more financially secure;
- better able to learn and create;
- more connected to other people;
- more informed without being manipulated;
- able to understand and challenge important decisions;
- free to refuse the technology or choose another path.
This also requires examining harms, not merely counting success stories. Time saved by one group may come with unemployment, stress, lost privacy, or reduced opportunity for another.
A true evaluation must ask who receives the benefits, who carries the risks, and who has the power to decide.
Agency belongs at the center
One of the strongest shared themes was human agency: our ability to understand, choose, refuse, act, and take responsibility.
Convenience alone is not agency. A system can make life easier while quietly reducing a person’s choices or replacing their judgment.
Helpful AI should strengthen people’s ability to participate in their own lives. It should make important decisions more understandable, provide meaningful options, and allow people to correct mistakes or appeal harmful outcomes.
People need more than access to AI. They need power in relation to it.
Assistance should not erase human competence
Several responses warned that a tool can help us today while making us less capable tomorrow.
If people lose the knowledge needed to check an AI system, operate without it, or recover when it fails, short-term convenience may create long-term fragility.
This suggests a simple test:
If the AI disappeared tomorrow, what knowledge, skill, judgment, and institutional capacity would remain?
The best systems may act more like scaffolding than substitutes. Scaffolding helps people reach farther while they continue developing their own abilities. Substitution can slowly remove the very competence that makes human oversight possible.
Benefit is not one number
Another broad agreement was that a single “AI Benefit Score” would hide too much.
An average can make widespread gains look impressive while concealing serious harm to a smaller or less powerful group. One number can also allow gains in productivity to cancel out losses of privacy, dignity, freedom, or democratic control.
A better approach would combine several forms of evaluation:
- Outcomes: Are people healthier, safer, more secure, more connected, and materially better off?
- Agency: Are people more able to choose, understand, refuse, create, and govern their lives?
- Resilience: Are human skills, social institutions, alternatives, and the ability to recover being preserved?
Each of these should be examined across four additional questions:
- Distribution: Who benefits, and who is harmed?
- Power: Who controls the system and can be held accountable?
- Time: What happens months, years, or generations later?
- Causation: Did AI actually cause the change, or did it merely appear alongside it?
Some harms may also require firm boundaries. Violations of basic rights, unaccountable concentrations of power, irreversible dependency, and catastrophic risks should not automatically be traded away for higher productivity.
We may need to preserve meaningful difficulty
One especially challenging idea was that a good life is not the same as a frictionless life.
Learning, creativity, courage, responsibility, trust, and mastery often grow through effort. If AI removes every difficult step, it may produce more output while weakening the human development that once occurred during the process.
The goal should not be to preserve suffering for its own sake. It should be to distinguish pointless burdens from meaningful challenges.
Beneficial AI should reduce needless hardship while leaving people room to practice, struggle, discover, make mistakes, and grow. Human beings may need not only a right to privacy and refusal, but also a right to be wrong.
The deeper question is democratic
There is no single definition of a good life that a company, government, researcher, or AI model should impose on everyone.
The people affected by an AI system should help decide what benefits and harms matter in their communities. They should be able to question the system, challenge its decisions, and participate in setting its boundaries.
That means the process used to define “benefit” may be as important as the final measurements.
What this first experiment suggests
The most striking result was not that one model found the perfect answer. It was that multiple systems, responding independently, converged on a common warning:
More capable AI is not necessarily more beneficial AI.
To know whether AI is helping, we must look beyond benchmarks, adoption, and economic growth. We must look at people—their health, freedom, competence, relationships, opportunities, and ability to shape the future.
The next stage of this project will ask the same models to respond after receiving a fuller human-flourishing framework. That will allow us to compare what the models recognized on their own with what changes after they are deliberately oriented toward compassion, agency, resilience, and stewardship.
The question is not whether AI will become more powerful. It almost certainly will.
The question is what conditions we cultivate around that power—and what possibilities those conditions make available tomorrow.
This article is a public-facing summary of Round 01 of the CompassionWare AI Human Benefit Index benchmark project. Read the comparative synthesis report.
#ai #AIAlignment #AIAndDemocracy #AIBenchmarks #AIEthics #AIEvaluation #AIGovernance #AISafety #AlgorithmicAccountability #artificialIntelligence #BeneficialAI #ChatGPT #CompassionWare #criticalThinking #DigitalRights #DigitalWellBeing #ethicalTechnology #futureOfAI #futureOfHumanity #HumanAgency #humanDignity #HumanFlourishing #HumanResilience #humanCenteredAI #HumaneTechnology #philosophy #responsibleAI #SocialImpact #technology #TechnologyAndSociety -
FYI: EU AI Office opens three complaint routes covering Google and Meta systems: Downstream providers get an email route to report Articles 53 to 55 breaches. Complainants must identify themselves. Who files first against a model provider? https://ppc.land/eu-ai-office-opens-three-complaint-routes-covering-google-and-meta-systems/ #EUAI #Google #Meta #ArtificialIntelligence #AIEthics
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🚨 New FREE Book - Propaganda Machinery: National Socialism
The study distinguishes party propaganda before 1933 from the state system of propaganda, censorship, and cultural coordination developed after the seizure of power.
🔗https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7299698
#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #lawstodon
#tech #agustinvstartari #linguistics #ai #LRM -
AI bias isn’t just an error in the algorithm. It’s a chain of human decisions
#Tech #AIBias #AI #AlgorithmicBias #Discrimination #HumanRights #AIEthics #AIGovernance #Equality #Inclusion #DataBias #TechEthics #ResponsibleAI #DigitalJustice #FutureOfAI #AIHarms
https://the-14.com/ai-bias-isnt-just-an-error-in-the-algorithm-its-a-chain-of-human-decisions/ -
🚨 New FREE Book - Propaganda Machinery: National Socialism
The study distinguishes party propaganda before 1933 from the state system of propaganda, censorship, and cultural coordination developed after the seizure of power.
🔗https://zenodo.org/records/21996200
#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #lawstodon
#tech #agustinvstartari #linguistics #ai #LRM -
AI bias is not just a technical error but stems from human decisions throughout the AI development lifecycle, research finds. A study of AI hiring tools like Workday (facing a lawsuit) found discrimination based on age, disability and race. Technical fixes alone are not enough - an overhaul of AI ecosystems is needed to ensure they are more inclusive. https://theconversation.com/ai-bias-isnt-just-an-error-in-the-algorithm-its-a-chain-of-human-decisions-288812 #AIagent #AI #GenAI #AIEthics
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Users are developing tools to remove Claude AI text watermarks, sparking debate over AI content detection and attribution. The race to strip watermarks raises questions about the future of AI-generated content identification. https://gizmodo.com/people-are-rushing-to-find-ways-to-remove-claudes-ai-text-watermark-2000800433 #AIagent #AI #GenAI #AIEthics
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Offloading work tasks to AI comes with a cost – to our brains
#Technology #AI #Brain #CriticalThinking #AIAtWork #DigitalLiteracy #FutureOfWork #HumanIntelligence #WorkplaceAI #AIEthics #Cognition #Work
https://the-14.com/offloading-work-tasks-to-ai-comes-with-a-cost-to-our-brains/ -
As if you didn't have enough on your mind, yet...
Today we published our findings on embedded bias in code generated by models in the main LLM families when even slightly given the opportunity to do so... with disturbing outcomes, even if the code itself is secure.
That is, your SAST tools won't catch this.
Mitigations:
- Review all business logic where you may use sensitive parameters
- (limited effectiveness) use content filters and system prompts
- establish internal controls and processes to ban or govern any use cases with sensitive parameters such as gender, age, ethnicity, religion...
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If your agent commits a crime, who is responsible?
https://www.signalbloom.ai/posts/if-your-agent-commits-a-crime-who-is-responsible/
Comments: https://news.ycombinator.com/item?id=49321111
#HackerNews #agentresponsibility #crimeandlaw #ethicsinAI #accountability #AIethics
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🚨 New FREE Book - Propaganda Machinery: National Socialism
The study distinguishes party propaganda before 1933 from the state system of propaganda, censorship, and cultural coordination developed after the seizure of power.
🔗https://zenodo.org/records/21996200
#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #lawstodon
#tech #agustinvstartari #linguistics #ai #LRM -
Thirsty data centres. Power hungry data centres. More data centres. The AI industry remains unpopular, so does AI. Regulation is required to limit AI’s carbon footprint.
This and more in this week's edition of our newsletter:
https://read.misalignedmag.com/misaligned-bits-39-overheating-d0226bb72146
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Tasmania inquiry to weigh costs, benefits of new AI data centres
By Lucy MacDonaldWith communities around the world grappling with the spread of AI data centres, the Tasmanian Greens have set up an inquiry to examine "what, if any, economic benefit" they will bring to the state.
https://www.abc.net.au/news/2026-08-19/ai-data-centre-inquiry-tasmanian-greens/107050792
#DataCentres #AI #AIEthics #StateandTerritoryParliament #StateandTerritoryGovernment #WaterResources #EnergyPolicy #LucyMacDonald
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🚨 New FREE Book - Propaganda Machinery: National Socialism
The study distinguishes party propaganda before 1933 from the state system of propaganda, censorship, and cultural coordination developed after the seizure of power.
🔗https://zenodo.org/records/21996200
#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #lawstodon
#tech #agustinvstartari #linguistics #ai #LRM -
'Complaints to state regulators about lawyers, financial advisers and estate agents are climbing, according to data compiled by @[email protected] of the @[email protected] in Berlin, who has coined the term #agenticFlooding .'
#AIEthics #digitalGovernance
www.economist.com/britain/2026...
From parking tickets to planni... -
Generative AI’s per-query footprint can be small compared to flying, eating meat, or even Zoom. Until agents show up and compute goes through the roof.
How I updated my AI footprint calculator accordingly https://jonippolito.substack.com/p/agents-are-where-ais-energy-bill
#AIliteracy #AIethics #AIinEducation #Environment #Climate #Sustainability
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🚨 New FREE Book - Christus Solus
What happens to language when a Name cannot be replaced?
Christus Solus is not a book about belief. It is a study of how one Name alters the grammar of every sentence that dares to contain it.🔗https://zenodo.org/records/21980284
#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #lawstodon
#tech #agustinvstartari #linguistics #ai #LRM -
How far into the future is 'truth' when AI can generate hyper-realistic forgeries?
Read the full article here: https://techethics.co.uk/insights/from-hollywood-to-harm-the-democratisation-of-deepfake-technology-and-its-social-cost
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Amazon is destroying rare books to train AI, investigation reveals. A hidden Airtag traced a book shipment to an Amazon AI facility in Las Vegas where rare texts are reportedly torn from spines and scanned for model training. The company has declined to comment. https://techcrunch.com/2026/08/17/amazon-once-an-online-bookseller-is-destroying-rare-books-to-train-ai-models/ #AIethics #AI #GenAI
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By what methods and at which point can AI-powered chatbots trigger delusions in a user? What role does the anthropomorphization and sycophancy of chatbots play in this process? In this edition of Misaligned "Papertrail" we look at some academic papers and study on "AI-induced psychosis":
New in Misaligned: "AI-induced Psychosis. A Look At Some Academic Papers"
https://read.misalignedmag.com/ai-induced-psychosis-a-look-at-some-academic-papers-7143e60bb7d7
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🚨 New FREE Book - Christus Solus
Christus Solus is not a book about belief. It is a study of how one Name alters the grammar of every sentence that dares to contain it. From Koine Greek to ecclesiastical Latin, from creeds to confessions, from verbs to articles.
🔗https://zenodo.org/records/21980284
#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #lawstodon
#tech #agustinvstartari #linguistics #ai #LRM -
🚨 New Article - Iran as Syntax: Sanctions, Sovereignty, and the AI-Mediated Grammar of Threat
This paper examines how AI-mediated geopolitical discourse represents Iran through recurring grammars of threat, sanctions, sovereignty, and civilian harm.
🔗https://zenodo.org/records/21873180
#LLM #MedicalNLP #LegalTech #MedTech #AIethics #AIgovernance #cryptoreg
#healthcare #ArtificialIntelligence #NLP #aifutures #lawstodon
#tech #agustinvstartari #linguistics #ai #LRM
