Require human-in-the-loop oversight for agentic AI systems acting in high-stakes domains

ai-safety ai-governance policy ethics ai-regulation regulations

Share this with your representatives, journalists and friends

Key insights

Across the quotes, calls for oversight come from governments, regulators, universities, companies, and international bodies, and they apply the principle across defense, finance, education, justice, healthcare, and public services (15792, 15397, 16181, 12036, 12408, 12034).
The main disagreement is often about form, not whether humans matter: some describe pre-action approval gates, while others prefer supervisory, override, or shutdown authority scaled to risk (18116, 17526, 17661, 12105, 13819).
Many supporters tie human oversight to traceability and remedy, linking it with audit trails, documentation, contestability, and accountability for outcomes (17056, 16156, 12130, 12366).
Critics and nuanced supporters alike warn that nominal oversight can fail if humans cannot keep up with the speed or complexity of agentic systems (14125, 15861, 12033, 14073, 18778).
Several quotes explicitly frame oversight as compatible with innovation when built in from the beginning, while objections focus on blanket or universal mandates rather than rejecting all human involvement (12543, 12066, 18779, 13819, 14541).

Arguments for

Final human authority

Proponents argue that when AI affects life, rights, public services, education, or other consequential interests, AI should support rather than replace human judgment. A person should keep the final word, make the final decision, or approve the action before it takes effect.

However capable of our systems become, a person must keep the final word to understand the decision, to contest it, and where it matters most, to switch the systems off. This is non-negotiable, above all in high-risk systems where a single decision can cost a life, a livelihood, …

Rafal Kownacki · Jul 7, 2026 · full quote
Humans must retain final control over decisions supported or affected by AI. This is particularly important when AI systems can affect access to rights, public services, employment opportunities, education, healthcare, credit, information, or democratic participation.

Eugênio Garcia · Jul 7, 2026 · full quote
The AI only provides recommendations, insights, or drafts. A human must always make the final decision or approve the action.

Metro Government of Nashville and Davidson County · Jul 1, 2026 · full quote
When in the course of acceptable use, artificial intelligence or automated decision tools are used to assist in decision-making, an authorized human employee or designee must make all final decisions regardless of the recommendation of the artificial intelligence or automated dec…

University of Arkansas at Little Rock · Jun 29, 2026 · full quote
No machine should ever be given the power to decide to kill a human being on its own.

Don Beyer · Jul 17, 2026 · full quote
Artificial intelligence is playing an increasingly critical role in strengthening our national defense, but it should never be the one making life-or-death decisions. We must establish safeguards now to ensure these technologies are used ethically and transparently.

Tom Barrett · Jul 17, 2026 · full quote

Control, override, shutdown

Supporters stress that increasingly autonomous systems can behave badly, resist intervention, or cause severe harm before a person can react. They therefore call for explicit confirmation before sensitive actions and tested kill switches, override controls, or shutdown mechanisms that do not rely on the AI’s cooperation.

Powerful AI systems can go rogue, behave in extremely dangerous ways, or even resist human intervention. It is imperative that these AI systems have kill switches so we can keep this technology from causing catastrophic harm, and that the federal government has the clear authorit…

Ted Lieu · Jul 23, 2026 · full quote
Advanced AI models should never be deployed without a reliable off switch. The AI Kill Switch Act establishes a commonsense safeguard by requiring leading AI companies to maintain the ability to shut down their models and empowering the federal government to act when a deployed s…

Brad Carson · Jul 23, 2026 · full quote
Implement accessible kill switches, override controls or independent shutdown mechanisms for every autonomous or safety-relevant edge AI system. These controls should not rely on the AI’s cooperation and should be tested regularly. Define where human approval is required before A…

Canadian Centre for Cyber Security · Jul 15, 2026 · full quote
Human-in-the-Loop gates: High-stakes actions like sending emails, modifying files, executing code, or moving money, require explicit human confirmation before the AI can proceed.

Amanda Caswell · Aug 10, 2026 · full quote
Because we still understand so little about the inner workings of these systems, ensuring that these more powerful agents stay under human control, that we can correct or stop them if they start behaving badly, is an urgent and persistent problem.

International AI Safety Report · Jul 7, 2026 · full quote
because AI agents can act directly upon the real world, virtually and increasingly in the physical world, their failures can potentially cause severe harm before a human can even intervene.

Concordia AI · Jul 7, 2026 · full quote

Accountability and traceability

Another argument is that oversight keeps responsibility with identifiable people and institutions rather than allowing decisions to be justified by what a system said. Named human approvers, audit trails, reviewable records, contestability, and timely redress are presented as core safeguards for consequential AI use.

An "audit trail should preserve both identities: the human who initiated or authorized the action and the agent that executed it."

Vinay Patel · Jul 29, 2026 · full quote
Human oversight of AI systems cannot be just a rubber stamp. It requires that an identified person be granted authority, competence, time, independence, and power to alter and even stop a system.

Volker Türk · Jul 7, 2026 · full quote
The true challenge is to ensure that its use is transparent, responsible, can be audited, and completely compatible with ethical judicial priorities, human rights, and the rule of law. No public institution can justify a decision by saying that that is what the system told us to …

Samuel Arsenault · Jul 7, 2026 · full quote
We need to appoint an identifiable human being in charge for all issues that are tied to rights, and there needs to be a right to redress in good time, in line with the speed of AI systems, so that humans can receive redress if necessary. Therefore, the functioning of the algorit…

Amal El Fallah Seghrouchni · Jul 7, 2026 · full quote
High-impact automated decisions, such as customs targeting, identity verification, or logistics prioritization, must remain under clear human accountability and be traceable and contestable.

Universal Postal Union · Jul 7, 2026 · full quote
Both in guidelines and in training, the Government emphasises the importance of a human-in-the-loop approach. The relevant guidelines clearly state that AI tools serve only an assistive role, and that organisations adopting such technologies bear the power and responsibility for …

Government of the Hong Kong Special Administrative Region · Jul 15, 2026 · full quote

Built-in governance processes

Many supporters treat oversight as a governance architecture that must be built in from the start. They call for monitoring, approval workflows, access limits, escalation paths, defined decision rights, and independent review, especially for the highest-risk activities.

Organizations should also define where human intervention is required and who is responsible for the decisions models make. Oversight should focus on the activities that carry the greatest operational, financial or regulatory risk.

Vishal Salvi · Aug 7, 2026 · full quote
Make the technical controls real. That means AI-ready data, clear access controls, audit trails, model and agent monitoring, defined escalation paths and the ability to intervene when something behaves outside expectations.

Joe Depa · Aug 7, 2026 · full quote
Design for human oversight from Day 1: Don't bolt on governance after deployment. Build approval workflows, block states, and audit trails directly into your architecture.

Jaleh Reeves · Jul 1, 2026 · full quote
Organizations need processes to monitor, challenge and review AI systems, particularly as they become more autonomous.

Cathal McCarthy · Aug 14, 2026 · full quote
Its constructive proposal is engineered heterogeneity: the process that proposes an action should not serve as its sole approver and auditor. Independent monitoring and review over time provide additional checks on that process.

Nathan DeBardeleben · Aug 4, 2026 · full quote
Organisations should not govern agents like software modules. They should onboard them like digital workers – with clear roles, access limits, supervision and accountability.

Edward Chen · Jul 28, 2026 · full quote

Arguments against

Scalability and speed limits

Critics say classic human-in-the-loop review may be defensible in development or low-frequency settings, but breaks down in production environments with many agents and high decision velocity. At that scale, routing actions to people can slow operations, make desired results hard to achieve, and become unrealistic.

The industry’s current answer is unsatisfying: Human-in-the-Loop (HITL). In development environments and low-frequency pipelines, routing uncertain decisions to a human can be defensible. In production systems operating at scale—dozens of agents, hundreds of decisions per hour—it…

Artur Huk · May 11, 2026 · full quote
We’re not huge fans of human-in-the-loop. It’s something that you should use judiciously, where you absolutely need it. But it’s not something that you can do at high velocity. You will not get the results that you want to get.

Eric Brandwine · Jun 20, 2026 · full quote
Our frameworks were not built to contemplate autonomous agents, and relying on a human in the loop for all agent actions is unlikely to be realistic. More sophisticated governance and accountability frameworks may be needed.

Sarah Breeden · Jul 2, 2026 · full quote
Industry discourse often presents “Human-in-the-Loop” as the ultimate safeguard for AI deployment, yet this is a dangerous fallacy in high-velocity agentic systems.

Steve Tidwell · May 1, 2026 · full quote

Blanket mandates misfit

Opponents also argue that policymakers should not impose blanket oversight mandates on all agent actions. In their view, user intervention should scale with the potential impact of actions, and autonomous agents may need broader governance and accountability frameworks than universal HITL.

Policymakers should avoid blanket oversight mandates; instead, recognize that user intervention should scale with the potential impact of the agent’s actions.

Google · May 2026 · full quote
Our frameworks were not built to contemplate autonomous agents, and relying on a human in the loop for all agent actions is unlikely to be realistic. More sophisticated governance and accountability frameworks may be needed.

Sarah Breeden · Jul 2, 2026 · full quote
We’re not huge fans of human-in-the-loop. It’s something that you should use judiciously, where you absolutely need it. But it’s not something that you can do at high velocity. You will not get the results that you want to get.

Eric Brandwine · Jun 20, 2026 · full quote

Middle ground

Risk-based oversight modes

A common nuanced position accepts oversight but says it should be graduated rather than a single pattern. Depending on risk, consequence, ambiguity, and operational context, the appropriate model may be human-in-the-loop, human-on-the-loop, or human-in-command rather than human review at every level.

Human-in-the-loop should be designed as a graduated oversight model rather than a single pattern. The right mode depends on risk, confidence, ambiguity, regulatory sensitivity, operational maturity, and the trustworthiness of the automation.

Florian Lauck-Wunderlich · Jul 24, 2026 · full quote
To protect employees and exact real productivity, businesses must build in human oversight at the right level – not at every level.

Sonali Fenner · Jul 20, 2026 · full quote
Conventional oversight models are increasingly insufficient. The shift is moving from “human-in-the-loop” to “human-on-the-loop”, reflecting a more supervisory rather than directly interventionist role for people.

Pieter Danhieux · Jul 13, 2026 · full quote
Our national AI policy ensures human in the loop where AI must support and not replace human decision-making. Human on the loop, where human oversight remains an inbuilt feature. And human in command, where ultimate legal responsibility remains that of humans.

Shahza Fatima Khawaja · Jul 7, 2026 · full quote
Human oversight should increase as agent autonomy and consequence increase.

PwC · Jul 17, 2026 · full quote
Policymakers should avoid blanket oversight mandates; instead, recognize that user intervention should scale with the potential impact of the agent’s actions.

Google · May 2026 · full quote

Meaningful human capacity

Several quotes stress that oversight must be meaningful, not ceremonial. Human reviewers need authority, competence, time, independence, and the ability to alter outcomes, and governance should not assume such capacity is always present.

Human oversight of AI systems cannot be just a rubber stamp. It requires that an identified person be granted authority, competence, time, independence, and power to alter and even stop a system.

Volker Türk · Jul 7, 2026 · full quote
Boards can no longer simply ask if a human sits in the loop and check that box. They must assess whether that person can act with cognitive sovereignty and out-think the system when it matters, and whether anyone is investing so she can.

Michael Netzley · Jun 19, 2026 · full quote
Human oversight must be real, informed, and able to change outcomes.

UNHCR · Jul 7, 2026 · full quote
Existing responsible AI governance frameworks mandate human oversight. Yet they share a critical assumption: that competent human overseers remain present and capable of exercising meaningful oversight and control over AI decisions. Accountability must be treated as a capacity-se…

Gabriel Sze · Apr 20, 2026 · full quote

The debate centers on how to preserve human responsibility and control as AI systems become more autonomous in consequential settings (13603, 15683, 12131). Supporters emphasize final human authority, the ability to review, override, and stop systems, and built-in accountability measures (13100, 17661, 17056, 17363). Critics chiefly question whether blanket human-in-the-loop requirements can operate effectively at scale and argue for risk-scaled or more architecturally embedded governance instead (13819, 14125, 15861, 18778).

Cast your vote:

Results (527 votes):

Total (527 votes)

For 511 (97%) Abstain 1 (0%) Against 15 (3%)

For (508)

Australia’s Data and Digital Ministers
Australian federal, state, and territory ministers responsible for data and digital policy.

I am this person! Add a sourced quote Report comment

votes For and says:

Those responsible for the different phases of the AI system lifecycle should be identifiable and accountable for the outcomes of the AI systems, and human oversight of AI systems should be enabled.
AI Verified source (Aug 25, 2026)

added 6d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
OpenAI
AI research organization

I am this person! Add a sourced quote Report comment

votes For and says:

Guided by our National Security Principles, we approach national security deployments with safeguards, meaningful human judgment, and appropriate oversight, especially in high-stakes settings.
AI Verified source (Aug 18, 2026) 1 of 3

added 10d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Cathal McCarthy
Chief Strategy Officer at Kore.ai, writing on AI governance and enterprise AI.

I am this person! Add a sourced quote Report comment

votes For and says:

Organizations need processes to monitor, challenge and review AI systems, particularly as they become more autonomous.
AI Verified source (Aug 14, 2026)

added 16d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Janet Bastiman
Chief data scientist at Napier AI, writing on responsible AI, human oversight, and workforce skills.

I am this person! Add a sourced quote Report comment

votes For and says:

Ensuring meaningful human oversight of AI systems through various types of checks will ensure that the employees keep their core skills sharp for the task, but allowing the shift of work into new tasks will allow the building of new skills that were ...
more AI Verified source (Aug 12, 2026)

added 16d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Henry Han
Researcher on AI governance, verifiability, and auditability in financial technology.

I am this person! Add a sourced quote Report comment

votes For and says:

Financial institutions are delegating consequential decisions to agentic AI systems that decompose goals, coordinate models and tools, and act with little oversight. Yet agentic AI governance in FinTech is under-investigated.
AI Verified source (Aug 11, 2026)

added 17d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Amanda Caswell
AI Editor at Tom's Guide and technology journalist.

I am this person! Add a sourced quote Report comment

votes For and says:

Human-in-the-Loop gates: High-stakes actions like sending emails, modifying files, executing code, or moving money, require explicit human confirmation before the AI can proceed.
AI Verified source (Aug 10, 2026)

added 20d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Ricardo Britto
Author of a 2026 arXiv paper on assurance for AI-native software development.

I am this person! Add a sourced quote Report comment

votes For and says:

The AI-Native Manifesto envisions large-scale agile software development in which humans increasingly govern intent, risk, and exceptions while agents execute more of the engineering process.
AI Verified source (Aug 7, 2026)

added 15d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Edmund Seto
Environmental health researcher and author of a 2026 paper on human-in-the-loop agentic AI.

I am this person! Add a sourced quote Report comment

votes For and says:

We conclude that effective use of agentic AI requires both domain expertise to frame questions and evaluate outputs, and coding literacy to guide the AI's approach.
AI Verified source (Aug 7, 2026)

added 20d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Joe Depa

I am this person! Add a sourced quote Report comment

votes For and says:

Make the technical controls real. That means AI-ready data, clear access controls, audit trails, model and agent monitoring, defined escalation paths and the ability to intervene when something behaves outside expectations.
AI Verified source (Aug 7, 2026)

added 23d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Vishal Salvi

I am this person! Add a sourced quote Report comment

votes For and says:

Organizations should also define where human intervention is required and who is responsible for the decisions models make. Oversight should focus on the activities that carry the greatest operational, financial or regulatory risk.
AI Verified source (Aug 7, 2026)

added 23d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Rodrigo Coelho
Chief Executive Officer of Edge & Node, writing on AI accountability and security.

I am this person! Add a sourced quote Report comment

votes For and says:

Embedding infrastructural policy enforcement, audit trails, and human-reviewable records does bring an additional layer prior to deployment. And in a domain where nefarious actors operate free of this operational layer, it's fair to ask whether enter...
more AI Verified source (Aug 6, 2026)

added 20d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Daniel Card

I am this person! Add a sourced quote Report comment

votes For and says:

Security comes from the details; it comes from care. More care needs to go into systems – even more so when they are autonomous. We can't just set them off and hope they are ok. They need monitoring.
AI Verified source (Aug 5, 2026)

added 23d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Nathan DeBardeleben

I am this person! Add a sourced quote Report comment

votes For and says:

Its constructive proposal is engineered heterogeneity: the process that proposes an action should not serve as its sole approver and auditor. Independent monitoring and review over time provide additional checks on that process.
AI Verified source (Aug 4, 2026)

added 17d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Branka Marijan
Senior fellow at the Centre for International Governance Innovation and senior researcher at Project Ploughshares.

I am this person! Add a sourced quote Report comment

votes For and says:

Governance must ensure that commanders have sufficient training, time and authority to critically evaluate AI recommendations, and that human decision makers retain careful, independent judgment.
AI Verified source (Aug 4, 2026)

added 22d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Vinay Patel
Chief Security Officer at Zendesk, specializing in enterprise and agentic-AI security.

I am this person! Add a sourced quote Report comment

votes For and says:

An "audit trail should preserve both identities: the human who initiated or authorized the action and the agent that executed it."
AI Verified source (Jul 29, 2026)

added 28d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Edward Chen
Chief AI Officer at NCS

I am this person! Add a sourced quote Report comment

votes For and says:

Organisations should not govern agents like software modules. They should onboard them like digital workers – with clear roles, access limits, supervision and accountability.
AI Verified source (Jul 28, 2026)

added 20d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Hugh Scantlebury

I am this person! Add a sourced quote Report comment

votes For and says:

While AI is becoming an increasingly trusted part of the workplace, human oversight and validation remain essential.
AI Verified source (Jul 27, 2026)

added 20d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Ceren Kaya Akgün
Author and practitioner writing on human-in-the-loop controls for agentic AI workflows.

I am this person! Add a sourced quote Report comment

votes For and says:

Human in the loop for AI agents is an execution-control pattern in which an agent stops before a designated action, hands a decision to a person, and does not continue until that person accepts, edits, or refuses it.
AI Verified source (Jul 25, 2026)

added 1mo ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Florian Lauck-Wunderlich
Enterprise AI practitioner writing on agentic-AI governance and human-in-the-loop architecture at Pega.

I am this person! Add a sourced quote Report comment

votes For and says:

Human-in-the-loop should be designed as a graduated oversight model rather than a single pattern. The right mode depends on risk, confidence, ambiguity, regulatory sensitivity, operational maturity, and the trustworthiness of the automation.
AI Verified source (Jul 24, 2026)

added 16d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Aspen University
Accredited U.S. university and publicly traded higher-education institution.

I am this person! Add a sourced quote Report comment

votes For and says:

AI should not serve as the sole basis for decisions that materially affect a student’s academic standing, progression, financial status, enrollment status, access to university services, disability accommodations, student conduct outcomes, or other s...
more AI Verified source (Jul 24, 2026)

added 1mo ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
WAIG Foundation

I am this person! Add a sourced quote Report comment

votes For and says:

High-impact AI systems need named humans in the loop. This article maps common oversight patterns used in governed deployments.
AI Verified source (Jul 23, 2026)

added 20d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Connor Leahy
Conjecture CEO; AI safety researcher

I am this person! Add a sourced quote Report comment

votes For and says:

As AIs grow more autonomous and dangerous, the government must have the power to shut them down when they threaten national security. The AI Kill Switch Act gives the U.S. government powers to do just that: a common sense action that Americans overwh...
more AI Verified source (Jul 23, 2026)

added 1mo ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Brendan Steinhauser
CEO of The Alliance for Secure AI; longtime Republican political strategist and former Tea Party organizer

I am this person! Add a sourced quote Report comment

votes For and says:

As AI systems grow more capable and more autonomous, no law guarantees that the companies building the most powerful models can actually shut a system down when it malfunctions, causes serious harm, or slips out of human control. The AI Kill Switch A...
more AI Verified source (Jul 23, 2026) 1 of 2

added 1mo ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Brad Carson
Americans for Responsible Innovation president

I am this person! Add a sourced quote Report comment

votes For and says:

Advanced AI models should never be deployed without a reliable off switch. The AI Kill Switch Act establishes a commonsense safeguard by requiring leading AI companies to maintain the ability to shut down their models and empowering the federal gover...
more AI Verified source (Jul 23, 2026)

added 1mo ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Nathaniel Moran
U.S. Representative from Texas

I am this person! Add a sourced quote Report comment

votes For and says:

AI is going to keep advancing, and it should. Stewardship means making sure humans keep the capability to control the technology we build. This is exactly the kind of issue that needs serious attention and achievable policy, and I'm glad to work acro...
more AI Verified source (Jul 23, 2026) 1 of 2

added 1mo ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Ted Lieu
U.S. Representative from California.

I am this person! Add a sourced quote Report comment

votes For and says:

Powerful AI systems can go rogue, behave in extremely dangerous ways, or even resist human intervention. It is imperative that these AI systems have kill switches so we can keep this technology from causing catastrophic harm, and that the federal gov...
more AI Verified source (Jul 23, 2026)

added 1mo ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Yeonseok Lee
Author of a 2026 arXiv paper on neuro-symbolic AI for criminal law.

I am this person! Add a sourced quote Report comment

votes For and says:

Furthermore, we incorporate a Human-in-the-Loop verification scheme to preserve professional legal oversight.
AI Verified source (Jul 22, 2026)

added 15d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Marlon Oliver
SVP of EMEA & APAC Operations at Flexera

I am this person! Add a sourced quote Report comment

votes For and says:

The organizations that navigate agentic AI well will be the ones that treat governance as part of the deployment decision rather than an afterthought to it.
AI Verified source (Jul 21, 2026)

added 20d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate

Abstain (1)

Against (15)

Garrett Gross
Field Chief Information Security Officer at Portnox, an enterprise access-control provider.

I am this person! Add a sourced quote Report comment

votes Against and says:

A lot of tools can tell you an AI agent is behaving strangely. Very few can act on that at the network layer, without waiting on a human to approve a ticket. That’s the piece we’re closing.
AI Verified source (Aug 18, 2026)

added 8d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate
Denny LeCompte
Chief Executive Officer of Portnox, a cloud-native enterprise access-control provider.

I am this person! Add a sourced quote Report comment

votes Against and says:

Every identity that can connect, access data, or act must be continuously verified and governed. Portnox gives organizations the ability to immediately restrict access when trust changes, without waiting for an AI agent to create a larger security in...
more AI Verified source (Aug 18, 2026)

added 8d ago

Choose a list of delegates

to vote as the majority of them.

Unless you vote directly.

Delegate

Loading more opinions...

More h/ai-regulation votes

Require all advanced AI chips to be registered and traceable to their physical location

Ban AI companion chatbots for minors under 18

AI agents should be granted legal personhood as non-human corporations

Ban autonomous lethal weapons

AI companies should be liable for harms caused by their deployed models

Back