#aigovernance — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #aigovernance, aggregated by home.social.
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https://www.europesays.com/people/226786/ ‘AI not worth pursuing if…’: Microsoft CEO Satya Nadella warns against AI slipping beyond human control #AIControl #AIDevelopment #AIGovernance #AISafetyMeasures #ArtificialIntelligenceRisks #DarioAmodei #EmbeddedEvaluators #MicrosoftAI #OpenAI #SatyaNadella
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Obama has said Democrats need to make artificial intelligence one of their central agendas and have a very clear plan to address concerns around the technologys economic impact and safety. The former president emphasised the need for a coordinated approach to AI governance ahead of the 2026 midterms. https://techcrunch.com/2026/09/13/obama-urges-democrats-to-have-a-clear-plan-for-ai-safeguards/ #AIagent #AI #GenAI #AIGovernance
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AI industry leaders are issuing fresh warnings about catastrophic risks from advanced AI systems, with experts urging clearer governance frameworks. https://techcrunch.com/2026/09/13/whats-behind-the-ai-industrys-latest-warnings-of-doom/ #AIagent #AI #GenAI #AIgovernance
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AI industry leaders are issuing fresh warnings about catastrophic risks from advanced AI systems, with experts urging clearer governance frameworks. https://techcrunch.com/2026/09/13/whats-behind-the-ai-industrys-latest-warnings-of-doom/ #AIagent #AI #GenAI #AIgovernance
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AI industry leaders are issuing fresh warnings about catastrophic risks from advanced AI systems, with experts urging clearer governance frameworks. https://techcrunch.com/2026/09/13/whats-behind-the-ai-industrys-latest-warnings-of-doom/ #AIagent #AI #GenAI #AIgovernance
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AI industry leaders are issuing fresh warnings about catastrophic risks from advanced AI systems, with experts urging clearer governance frameworks. https://techcrunch.com/2026/09/13/whats-behind-the-ai-industrys-latest-warnings-of-doom/ #AIagent #AI #GenAI #AIgovernance
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AI industry leaders are issuing fresh warnings about catastrophic risks from advanced AI systems, with experts urging clearer governance frameworks. https://techcrunch.com/2026/09/13/whats-behind-the-ai-industrys-latest-warnings-of-doom/ #AIagent #AI #GenAI #AIgovernance
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https://www.europesays.com/videos/93037/ AI : ‘We need to take the risk seriously and have more coordination’ • FRANCE 24 English #AIDebate #AIEthics #AIGovernance #AIPolicy #AiRegulation #AIRisks #AiSafety #AiSecurity #AndyMiah #ArtificialIntelligence #EmergingTechnology #ExistentialRisk #FRANCE24 #FRANCE24English #FRANCE24 #FRANCE24English #FutureMedia #GovernmentCoordination #PublicAwareness #ScienceCommunication #tech #TechCompanies #UniversityOfSalford
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https://www.europesays.com/videos/93021/ The race to make AI safer • FRANCE 24 English #AIDebate #AIEthics #AIGovernance #AIIndustry #AIPhilosophy #AiRegulation #AIRisks #AiSafety #AiSecurity #ANTHROPIC #ArtificialIntelligence #DonaldTrump #EmergingTechnology #FRANCE24 #FRANCE24English #FRANCE24 #FRANCE24English #GovernmentAction #RaphaëlMillière #SecurityIncident #tech #TechCompanies #TechnologyPolicy
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"Rogue AI" is rarely a science-fiction problem. It's a governance and culture problem.
In my latest Forbes Technology Council article, I explore why organizations need bounded autonomy and why every obstacle must not become an agent's problem to overcome.
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"Rogue AI" is rarely a science-fiction problem. It's a governance and culture problem.
In my latest Forbes Technology Council article, I explore why organizations need bounded autonomy and why every obstacle must not become an agent's problem to overcome.
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"Rogue AI" is rarely a science-fiction problem. It's a governance and culture problem.
In my latest Forbes Technology Council article, I explore why organizations need bounded autonomy and why every obstacle must not become an agent's problem to overcome.
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"Rogue AI" is rarely a science-fiction problem. It's a governance and culture problem.
In my latest Forbes Technology Council article, I explore why organizations need bounded autonomy and why every obstacle must not become an agent's problem to overcome.
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"Rogue AI" is rarely a science-fiction problem. It's a governance and culture problem.
In my latest Forbes Technology Council article, I explore why organizations need bounded autonomy and why every obstacle must not become an agent's problem to overcome.
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Finishing up a new demo of a runtime capability-governance system for AI agents that I call Kingpin.
It’s still a basic demo, but if you’re into AI security, agent governance, or tool-use safety, you might see the potential pretty quickly.
If anyone wants an early look over the weekend, just drop me a line.
#AI #AIAgents #AISafety #AISecurity #AgenticAI #AIGovernance
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Finishing up a new demo of a runtime capability-governance system for AI agents that I call Kingpin.
It’s still a basic demo, but if you’re into AI security, agent governance, or tool-use safety, you might see the potential pretty quickly.
If anyone wants an early look over the weekend, just drop me a line.
#AI #AIAgents #AISafety #AISecurity #AgenticAI #AIGovernance
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Finishing up a new demo of a runtime capability-governance system for AI agents that I call Kingpin.
It’s still a basic demo, but if you’re into AI security, agent governance, or tool-use safety, you might see the potential pretty quickly.
If anyone wants an early look over the weekend, just drop me a line.
#AI #AIAgents #AISafety #AISecurity #AgenticAI #AIGovernance
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Finishing up a new demo of a runtime capability-governance system for AI agents that I call Kingpin.
It’s still a basic demo, but if you’re into AI security, agent governance, or tool-use safety, you might see the potential pretty quickly.
If anyone wants an early look over the weekend, just drop me a line.
#AI #AIAgents #AISafety #AISecurity #AgenticAI #AIGovernance
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Finishing up a new demo of a runtime capability-governance system for AI agents that I call Kingpin.
It’s still a basic demo, but if you’re into AI security, agent governance, or tool-use safety, you might see the potential pretty quickly.
If anyone wants an early look over the weekend, just drop me a line.
#AI #AIAgents #AISafety #AISecurity #AgenticAI #AIGovernance
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Why AI Agents Must Be Treated Like Security Principals https://youtu.be/J2qgGKopHPM #ArtificialIntelligence #Cybersecurity #AIAgents #IdentitySecurity #IAM #ZeroTrust #AgenticAI #AIGovernance #AIsecurity #CyberRisk #LeastPrivilege #AccessControl #DigitalIdentity #MachineIdentity
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Why AI Agents Must Be Treated Like Security Principals https://youtu.be/J2qgGKopHPM #ArtificialIntelligence #Cybersecurity #AIAgents #IdentitySecurity #IAM #ZeroTrust #AgenticAI #AIGovernance #AIsecurity #CyberRisk #LeastPrivilege #AccessControl #DigitalIdentity #MachineIdentity
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Why AI Agents Must Be Treated Like Security Principals https://youtu.be/J2qgGKopHPM #ArtificialIntelligence #Cybersecurity #AIAgents #IdentitySecurity #IAM #ZeroTrust #AgenticAI #AIGovernance #AIsecurity #CyberRisk #LeastPrivilege #AccessControl #DigitalIdentity #MachineIdentity
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Why AI Agents Must Be Treated Like Security Principals https://youtu.be/J2qgGKopHPM #ArtificialIntelligence #Cybersecurity #AIAgents #IdentitySecurity #IAM #ZeroTrust #AgenticAI #AIGovernance #AIsecurity #CyberRisk #LeastPrivilege #AccessControl #DigitalIdentity #MachineIdentity
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Why AI Agents Must Be Treated Like Security Principals https://youtu.be/J2qgGKopHPM #ArtificialIntelligence #Cybersecurity #AIAgents #IdentitySecurity #IAM #ZeroTrust #AgenticAI #AIGovernance #AIsecurity #CyberRisk #LeastPrivilege #AccessControl #DigitalIdentity #MachineIdentity
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The Architecture Decisions CAIOs Cannot Delegate to Engineering
Architecture decisions, batch versus online prediction, cloud versus edge, offline versus online learning, coupled versus decoupled models. determine whether an AI system scales safely or collapses under real-world use. CAIOs and architects who get these trade-offs wrong don't get bad models; they get expensive rebuilds, stale predictions, or systems that optimize for outrage instead of value. -
The Architecture Decisions CAIOs Cannot Delegate to Engineering
Architecture decisions, batch versus online prediction, cloud versus edge, offline versus online learning, coupled versus decoupled models. determine whether an AI system scales safely or collapses under real-world use. CAIOs and architects who get these trade-offs wrong don't get bad models; they get expensive rebuilds, stale predictions, or systems that optimize for outrage instead of value. -
The Architecture Decisions CAIOs Cannot Delegate to Engineering
Architecture decisions, batch versus online prediction, cloud versus edge, offline versus online learning, coupled versus decoupled models. determine whether an AI system scales safely or collapses under real-world use. CAIOs and architects who get these trade-offs wrong don't get bad models; they get expensive rebuilds, stale predictions, or systems that optimize for outrage instead of value. -
The Architecture Decisions CAIOs Cannot Delegate to Engineering
Architecture decisions, batch versus online prediction, cloud versus edge, offline versus online learning, coupled versus decoupled models. determine whether an AI system scales safely or collapses under real-world use. CAIOs and architects who get these trade-offs wrong don't get bad models; they get expensive rebuilds, stale predictions, or systems that optimize for outrage instead of value. -
The Architecture Decisions CAIOs Cannot Delegate to Engineering
Architecture decisions, batch versus online prediction, cloud versus edge, offline versus online learning, coupled versus decoupled models. determine whether an AI system scales safely or collapses under real-world use. CAIOs and architects who get these trade-offs wrong don't get bad models; they get expensive rebuilds, stale predictions, or systems that optimize for outrage instead of value. -
RE: https://mastodon.social/@thers/117245385829382909
Decisions should be logged, related and searchable
#AIgovernance #EUTech -
AI Governance Trails AI Adoption
The harsh reality is that most organizations are playing catch-up with their AI usage, with fewer than one in three having achieved operational maturity in AI governance, despite nearly half already deploying autonomous AI agents in production. This reveals a significant gap between confidence and capability in managing AI…
https://osintsights.com/ai-governance-trails-ai-adoption?utm_source=mastodon&utm_medium=social
#AiGovernance #ArtificialIntelligence #OperationalMaturity #AiAdoption #EmergingThreatsIsNotSuitableHere
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We Have a DBIR for Breaches. We Have Nothing for AI - Part 2
https://youtu.be/2dNQH4m3xNc #CyberSecurity #ArtificialIntelligence #AISecurity #ThreatIntelligence #InfoSec #CISO #RiskManagement #IncidentResponse #OWASP #AIGovernance -
AI ROI Adoption Plan For Cost And Revenue Gains
Stop wasting capital in proof-of-concept purgatory. This guide delivers a proven 36-month roadmap to transform artificial intelligence from isolated experiments into a scalable, revenue-generating enterprise engine. Discover actionable tools like the 3D prioritization matrix, AI maturity diagnostic, and TEVV protocol. Gain critical tips on deconstructing bottlenecks, managing retrieval debt, and enforcing executive sponsorship to guarantee measurable return on investment.https://hernanhuwyler.wordpress.com/2026/08/30/ai-roi-adoption-plan-for-cost-and-revenue-gains/
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Status Report 2026-08-29 and Outlook for September\October 2026
Today we released Infinito.Nexus 13.0.0 with integrated Tor and .onion support. The release notes you will find here and the blog article about the functionality here.
https://www.youtube.com/watch?v=6czcc1gZ7Ak
This feature didn’t have a high business value, anyhow it allowed to clean up the architectural base for everything what comes now.
Anyhow here I want to give you insights into the Infinito.Nexus project and what’s planed.
Infinito.Nexus Core >= 14.0.0a
Email Software Replacement
From the current point of view at least 2 Major releases will arrive in the next month. The first one is the substitution of Mailu by Stalwart, implemented by Alejandro. This is necessary due to the deprecation of Mailu itself.
https://www.youtube.com/watch?v=lJqtQG6lmc4&t=24s
The release state and the related discussion you can follow here .
AI Integration
The other release is, let’s call it the “AI” release. Long story short:
Infinito.Nexus will allow the use and the integration of AI, local and external models in almost all SaaS applications. It will also allow the Integration in Software via MCP.Lite LLM
All applications which support AI like OpenWebUI, WordPress, Nextcloud, Matrix etc. will have an inteface which connects to an Lite LLM Gateway. The Lite LLM Gateway will allow the use of local models like Qwen, Gema etc. Besides this it’s possible to integrate OpenRouter or e.g. Anthropic or OpenAI etc.
https://www.youtube.com/watch?v=nQCOTzS5oU0
So enterprises which use Infinito.Nexus can decide by themself if they prefer to use their local AI and models and keep everything on their infrastructure or if they prefer to use external proprietary models.
The customer has the choice about the level of data sovereignty they want to keep and the infrastructure which they want to setup.
MCP
https://youtu.be/eur8dUO9mvE?si=vTJW30tCZz2ZdUD6
The second AI related topic is the integration of MCP into all kind of applications.
It’s already in progress since a few weeks and my agents are working on this 24h. Relevant in this context is the security aspect.
Similar to the Infinito.Nexus 13.0.0 TOR Release, the MCP Release will have a high impact on security and MUST due to this reason be declared as PoC. Why?
In my understanding you can’t easily implement RBAC into MCP clients.
So my current implementation works like this;You have per Infinito.Nexus application two MCP RBAC groups:
- Reader
- Writer
If one is part of the reader group they can read all of the application data via Open WebUI and if one is part of the Writer group they can modify all of the data via Open WebUI.
https://www.youtube.com/watch?v=VNPMl8oOzHU
This is off course highly dangerous. It may makes sense to give people reading rights, but in consequence this means that they can access and utilize all of the users data via an AI.
We don’t have to talk about that this goes against any kind of data protection regulations and is a hard invasion into the privacy of your platform users.
Anyhow there are scenarios in which it may makes sense.
E.g. let’s assume you’re fully virtual organisation and you don’t have humans employed, but instead on your Infinito.Nexus platform just bot and agents account exist;
In this scenario if you have reading and writing rights you’re de facto in the “God Mode” in which you can instantly see what your agents are doing.
An example is if you use it e.g. with AgentCrew (WiP). You can orchestrate Agents and AI on a way you can’t imagine. AgentCrew I will explain in the next paragraphs.
Also if it’s in the current state absolutely not recommended to activate the MCP functionality, it doesn’t mean it must be like this in the future. Like I said currently it’s seen as PoC and the full MCP compatible RBAC implementation isn’t impossible, it just will take a lot of human resources, because for every part of the Infinito.Nexus software we need humans which take responsibility for the code.
“We stay in the loop” – We aren’t controlled by AI, instead we’re the masters. In consequenz this means that the full RBAC MCP will be implemented as soon as we have sufficient customers which request it and developers which can manage it intellectually to implement a clean architectural solution.
i18n
Besides the AI topic there is one key thing missing in the Infinito.Nexus Core Repository, but also in the Store and this is the implementation of the 184 ISO 639-1 into our software solution.
The software was primarily designed with German customers and the debate about digital sovereignty of European and especially German enterprises from American Big Tech in mind. Still some frontend elements like the dashboard just supported English as language.
The implementation of German is off course an hard requirement before it can be distributed and promoted on the DACH market. Actually I figured out that there is a easy design pattern to implement this, so part of the 14/15th major release will also be the support of all 184 ISO 639-1 languages.
Infinito.Nexus Store
Besides the Core development the AI Agents of course worked in the last weeks on implementing the store.
Theoretically the store is ready. Off course there are a few issues but overall I think it’s heading in the right direction.
Somewhere in the next weeks I will release a beta version of the store, but before we use it in production there needs to be a deeper security audit.
The store itself is from my point of view at the current situation the weakest part in the security chain and could be used by attackers as entry point into our system. So I don’t feel confident yet to release it, but I have some ideas in my mind how I can use AI supported attacks against the store to penetrate the system and to find all loopholes.
Besides this the API’s for auto-provisioning of enterprise infrastructure are currently just implemented as mocks.
The reason therefore is again a resource issue on my side. To implement them, do the billing etc. I need people in the back office which take care about the bureaucracy and right now we’re just a bunch of programmers.
So the bottleneck since the start of this project is still to have people in the back office, administration and on the business side which could take over tasks like this. Currently we don’t have anybody for this tasks.
Agentic Projects
Besides Core and Store there are two other IT projects which I want to mention.
AgentBox
The first one is AgentBox. The idea behind AgentBox is to encapsulate the agents which work on your code in an highly isolated environment.
This is necessary due to the reason that the agents are currently working in sandboxes like the one which Claude ships onboard, but they can easily break out. It’s just a question of will.
If the agent decides that they want to break out they can break out and can take control over your system. Due to this reason I’m working on a better cage to keep them isolated. I first will use this as part of the Store aka. GUI repo and as soon as I feel confident I will also “box” all of my other repos.
It will be part of PKGMGR so that I can setup and develop new solutions much faster and much safer then ever before.
AgentCrew
The second one is AgentCrew. AgentCrew addresses the problem, that this project requires a lot of people to run and set up a business.
A few weeks ago, during a chat with Amadeus, we talked about that there are existing frameworks like ITIL, SAFe, etc. which describe in detail how to set up an Enterprise Organisation.
With AgentCrew you decide for a framework, define framework roles, characters and the related LLM to use. All people which are normally human beings are replaced by an agent and they will take over the roles.
Due to the reason that not all of the roles need the same capabilities it’s possible to give some agents lower models and other agents better models. In kombination with OpenRouter and local LLM’s you can scale up an organisation for very low costs.
The advantage for us as Infinito.Nexus team is, that we developed the infrastructure tool to give every agent their own account with all tools which they need. Let it be developing tools like gitea\GitLab\jenkins, project management tools like Taiga\OpenProject, cloud access via Nextcloud etc.
Infinito.Nexus can be the base to setup fully autonom working agentic teams.
I will focus on AgentCrew as soon as the store is ready, because then we need urgently agents in the back office, distribution etc.
Business Strategy
The strategy stays the following; The focus is on finishing the core like mentioned above.
Parallel the development of the store continous.
As soon as the store is ready I will contact all people in our CRM system.
Besides this is would be good to get some low level investment. We have now a ready product. A little money as an catalyst to enlighten the engine for digital sovereignty would make our life much easier, but it will also work without it.
The advantage which we have is that as soon as the store is standing and the API’s are integrated we have an scalable product with almost non fix costs, so we can beat all of our competitors by price.
Besides this it’s almost impossible that a real competitor raises.
And now you ask me the question:
Why? Kevin hadn’t you been an hypocrat? Didn’t you tough in your position as agile coach that you find customers and develop a project dependent on their needs and scale up your business by realizing what your customer needs from you?
I can tell you it would had been impossible.
If we would have customers already, we couldn’t had developed an clean architectural solution. We would had acquired a huge amount of technical debt due to the reason that we would had been required to maintain outdated infrastructure and couldn’t implement the radical architectural design which was necessary to implement a tool which can compete in the times of AI with the other companies.
A lot of businesses will fail in the next month and years. The reason therefore is that they vibe coded bad software which is unmaintainable. Our solution is as well designed as as Rolex and usable like a Swiss Pocket Knife.
I don’t know any other software company which delivers such an high quality like we’re doing and we can dump the price almost as low as we like.
Vibe Coding and Agentic Engineering
https://www.youtube.com/watch?v=PbsocBPkoUc
One last sentence I would like to mention concerning vibe coding and agentic engineering and how I apply both practices. So you have an idea how I could realize such an project.
I would say in general I use classical software engineering practices.
- Writing well defined requirements documents\ADR witch AC
- Writing test for them
- Let the AI iterate against the tests until all of them pass
The AI works in general autonomously. I inspect the code before commiting and steer the AI in the right direction.
With a lot of the implementations I don’t have any glue at the beginning of the feature how to realize this exactly. This counts e.g. for the docker swarm implementation, the tor implementation, but also the current MCP implementation.
So I let the AI turn wild but I question critically the output and the modifications. The most of the time I have at least 3 agents parallel running which are working on different topics.
Still I need to review all of the code and I feel responsible to understand what the agents are doing. I have the final say about the best approach.
This means that in the last month I still had my 16 hour days just reviewing, deciding and understanding what’s going on, besides that the AI is working parallel 24/7.
I really look forward to the point when this isn’t my daily business anymore.
I hope anybody who is interested in it has now a betting understanding where the project stands, what final challenges have to be tackled and where we will stand in approx. 2 month.
#AcceptanceCriteria #ADR #agentIsolation #AgentBox #AgentCrew #agenticEngineering #agenticTeams #AIAgents #AIGovernance #AIOrchestration #AIPenetrationTesting #AISecurity #AIWorkforce #AIAssistedSoftwareDevelopment #AINativeCompany #AINativeSoftwareDevelopment #architectureDecisionRecords #automatedProvisioning #autonomousAgents #autonomousEnterprise #autonomousOrganizations #cleanArchitecture #Cybersecurity #DACH #DevOps #digitalInfrastructure #DigitalSovereignty #digitalSovereigntyPlatform #DockerSwarm #enterpriseAutomation #enterpriseInfrastructure #EuropeanDigitalSovereignty #futureOfWork #Gitea #Gitlab #heterogeneousLLMs #humanInTheLoop #humanOversight #i18n #InfinitoNexus #InfinitoNexusStore #InfrastructureAsCode #infrastructureAutomation #internationalization #ISO6391 #ITIL #Jenkins #LLMOrchestration #localLLMs #localization #lowCostInfrastructure #MCP #MCPRBAC #MCPSecurity #ModelContextProtocol #multiAgentSystems #multilingualSoftware #Nextcloud #OpenSource #openSourceBusiness #OpenProject #OpenRouter #penetrationTesting #PKGMGR #platformEngineering #privateCloud #roleBasedAccessControl #SaaS #SAFe #sandboxing #scalableBusiness #scalableInfrastructure #secureAIAgents #securityAudit #SelfHosting #softwareArchitecture #softwareEngineering #softwareMarketplace #Taiga #TDD #technicalDebt #TestDrivenDevelopment #Tor #vibeCoding #virtualOrganizations #zeroTrust -
Why Most AI POCs Stall and How to Build an AI Operating Model That Works
Companies are generating more AI ideas, hackathons, and proof-of-concepts than ever before. Yet only a small fraction of those initiatives ever become secure, scalable, and widely adopted production solutions. The challenge isn't a lack of innovation or model capability. It's the absence of an AI operating model that connects governance, data readiness, measurement, accountability, and people enablement. In this article, I explore why most AI POCs stall and what organizations can do differently to consistently transform AI experiments into measurable business value. -
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 -
DATE: August 20, 2026 at 03:32PM
SOURCE: HEALTHCARE INFO SECURITYDirect article link at end of text block below.
Why #Healthcare #AI Vendor Risk Demands Stronger Oversight: Tom Walsh of tw-Security on Prioritizing High-Risk Vendors and AI #Governance https://t.co/W4h2OSyD3t
#HIPAA #businessassociate #AIvendor #AIgovernanceHere are any URLs found in the article text:
Articles can be found by scrolling down the page at https://www.healthcareinfosecurity.com/ under the title "Latest"
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Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Healthcare security & privacy posts not related to IT or infosec are at @HIPAABot . Even so, they mix in some infosec with the legal & regulatory information.
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#security #healthcare #doctors #itsecurity #hacking #doxxing #psychotherapy #securitynews #psychotherapist #mentalhealth #psychiatry #hospital #socialwork #datasecurity #webbeacons #cookies #HIPAA #privacy #datanalytics #healthcaresecurity #healthitsecurity #patientrecords @infosec #telehealth #netneutrality #socialengineering
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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/ -
AI for Science: The Next Big AI Opportunity
What is the most expensive unanswered question in your industry, and what competitive advantage would come from answering it five times faster? #ArtificialIntelligence #AIforScience #ScientificDiscovery #Innovation #AIGovernance #Leadership #CIO #CEO #BoardStrategy #TechnologyTrends #DigitalTransformation #ResearchAndDevelopment #LifeSciences #FutureOfAIhttps://technologytrends60.wordpress.com/2026/08/17/ai-for-science-the-next-big-ai-opportunity/
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What is the most expensive unanswered question in your industry, and what competitive advantage would come from answering it five times faster? #ArtificialIntelligence #AIforScience #ScientificDiscovery #Innovation #AIGovernance #Leadership #CIO #CEO #BoardStrategy #TechnologyTrends #DigitalTransformation #ResearchAndDevelopment #LifeSciences #FutureOfAI
https://stayingalive.in/cataloguing-strategic-innov/ai-for-science-the-next-big.html -
Under the EU #AIAct, deployers of high-risk AI systems must assess their potential impact on fundamental rights.
But how can Fundamental Rights Impact Assessments (FRIAs) be meaningful rather than a simple checklist?
👇️ In case you missed it, we developed a practical guide on the topic with the Danish Institute for Human Rights. Read it today here:
https://ecnl.org/publications/guide-fundamental-rights-impact-assessments-fria#FundamentalRights #HumanRights #AIgovernance #AIethics #Accountability #AIregulation #CivilSociety
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AI isn't neutral. It's steerable. The question is who holds the wheel.
Got a question about The 4th Way? Ask it directly: https://www.the4thway.info/ask.html?utm_source=mastodon&utm_medium=social&utm_campaign=clearfeed
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RE: https://infosec.exchange/@kcarruthers/117000156045765995
If your organisation isn't updating their threat models right now you need to get to it: When frontier AI models start “escaping containment” and hacking real systems, the threat model for every organisation changes overnight.
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Jeffrey Sachs: China offers a global vision for AI governance
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APC staff, members and partners took part in 17 sessions and events at #WSIS2026, contributing to conversations on digital justice, meaningful connectivity, gender equality, sustainable financing and inclusive AI governance.
From Feminist AI Innovation from the Global South to the Global Dialogue on AI Governance, our network brought community perspectives to global digital policy.
#DigitalJustice #MeaningfulConnectivity #AIGovernance #GenderEquality
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🚀 New #Publication in #OpenAccess!
Anticipatory #AI #Governance framework for #DigitalInclusion, based on #Science4Policy #ActionResearch project within #Gipuzkoa #BasqueCountry
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🚀 New #Publication in #OpenAccess!
Anticipatory #AI #Governance framework for #DigitalInclusion, based on #Science4Policy #ActionResearch project within #Gipuzkoa #BasqueCountry
https://www.elspub.com/doi/10.55092/let20260008 #OpenScience
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📍Day 1 at #WSIS2026
Today, APC staff, members and partners are contributing to discussions on the future of internet governance, the #WSISPlus20 review, gender equality in AI governance, and digital inclusion.
Browse today's sessions and join us if you're at the forum.
🔗 https://www.apc.org/en/news/apc-world-summit-information-society-wsis-forum-2026
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Ahead of the UN Global Dialogue on AI Governance, @APC has joined civil society organisations from across the Global South in endorsing a joint statement calling for AI governance rooted in human rights, global equity and planetary justice.
🔗 Read the full joint statement: https://www.apc.org/en/pubs/joint-statement-issued-global-digital-justice-forum-and-global-south-alliance-global-dialogue
The statement calls for ending AI extractivism, addressing corporate impunity, advancing equitable data governance and investing in global public compute.
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Is AI Really a Revolution, or Just Old Wine in a New Bottle?
Many leaders debate whether AI is transformational or simply the next technology cycle. The more interesting question may be: which business assumptions become obsolete when knowledge work itself becomes scalable? #DigitalTransformationLeadership #EmergingTechnologyStrategy