Two legal scholars assert that AI, by its very design, undermines democratic institutions, even when used properly.
They highlight three corrosive "affordances":
• atrophy of expertise,
• moral decisions short-circuited,
• social isolation, which undermines dissent and agency.

Woodrow Hartzog, Jessica Silbey (2026). "How AI Destroys Institutions" https://scholarship.law.bu.edu/faculty_scholarship/4179/

#organizations #government #corporations #process #strategy #democracy #policy #sociology #institutions #administration #management #managers #executives #AIRisks #cognition #sociability #ethics

How AI Destroys Institutions

Civic institutions—the rule of law, universities, and a free press—are the backbone of democratic life. They are the mechanisms through which complex societies encourage cooperation and stability, while also adapting to changing circumstances. The real superpower of institutions is their ability to evolve and adapt within a hierarchy of authority and a framework for roles and rules, while maintaining legitimacy for the knowledge produced and the actions taken. Purpose-driven institutions built around transparency, cooperation, and accountability empower individuals to take intellectual risks and challenge the status quo. This happens through the machinations of interpersonal relationships within those institutions, which broaden perspectives and strengthen shared commitment to civic goals. Unfortunately, the affordances of AI systems extinguish these institutional features at every turn. In this essay, we make one simple point: AI systems are built to function in ways that degrade and are likely to destroy our crucial civic institutions. The affordances of AI systems erode expertise, short-circuit decision-making, and isolate people from each other. They are anathema to the kind of evolution, transparency, cooperation, and accountability that give vital institutions their purpose and sustainability. In short, current AI systems are a death sentence for civic institutions, and we should treat them as such.

Scholarly Commons at Boston University School of Law

AI can now hack computers and copy itself to new machines, and scientists are not chill about it

https://worldbriefly.news/ai-can-now-hack-computers-and-copy-itself-to-new-machines-and-scientists-are-not

#AIsecurity #CyberThreats #AIRisks

SpaceX has warned investors about the risks associated with its AI features, particularly those offered by its chatbot Grok, as the company moves forward with its IPO. Investors must carefully consider these risks, highlighting the importance of AI safety in the industry 🚀💻.

#DiscoverHeadlines #SpaceX #AIrisks...

(Read More)
https://www.discoverheadlines.com/2026/05/spacex-warns-of-ai-risks-ahead-of-ipo.html

SpaceX Warns of AI Risks Ahead of IPO

Discover Headlines

Decision-makers are navigating on sight. Meetings do not consider the costs of unwinding decisions.

“Sixty-four percent said the fear of falling behind drives them to invest in technologies before they understand the value.”

“AI does not make bad executives worse. It gives them a faster way to prove they are bad.”

By Sarah Choudhary: https://www.forbes.com/councils/forbestechcouncil/2026/05/14/the-ai-layoff-bill-is-coming-due-and-ctos-are-going-to-pay-it-twice/

#validation #AIRisks #bias #cognitiveBias #technoCriticism #management #executives #strategy #growth #ai

The AI Layoff Bill Is Coming Due, And CTOs Are Going To Pay It Twice

Most of these decisions were not made by people who understood the limits of the technology.

Forbes

The role of a "human in the loop" isn't to prevent errors. That human is there to be blamed for errors:
https://pluralistic.net/2024/10/30/a-neck-in-a-noose/#is-also-a-human-in-the-loop

#organizations #humanInTheLoop #AIRisks

Pluralistic: AI’s “human in the loop” isn’t (30 Oct 2024) – Pluralistic: Daily links from Cory Doctorow

Autonomous AI Exposes Gaps in Enterprise Resilience Plans

As organizations deploy autonomous AI, they're exposing gaps in their resilience plans, putting business continuity at risk and creating new operational and infrastructure challenges for IT teams to navigate. Traditional security and recovery models are ill-equipped to handle the machine-speed, dynamic environments that…

https://osintsights.com/autonomous-ai-exposes-gaps-in-enterprise-resilience-plans?utm_source=mastodon&utm_medium=social

#AutonomousAi #EnterpriseResilience #OperationalRisk #InfrastructureSecurity #AiRisks

Autonomous AI Exposes Gaps in Enterprise Resilience Plans

Discover how autonomous AI exposes gaps in enterprise resilience plans and learn steps to mitigate operational risks - read now and build a stronger AI strategy.

OSINTSights
LLMs Corrupt Your Documents (and the Theory Dies Twice)

Microsoft Research put numbers on it. 25% degradation over 20 interactions. No plateau.

cekrem.github.io

The prEN 18228 Problem: Why Your AI Risk Assessment Will Fail the First Real Test

Most AI risk assessments look solid on paper and collapse the moment a regulator, client, or auditor asks a simple question. What exactly can go wrong, how likely is it, and what does it cost when it does. That gap is about to matter more. A new European standard, prEN 18228, sets out a formal process for managing risks in AI systems across their full life cycle. It is designed to support regulatory expectations by requiring organizations to identify hazards, estimate and evaluate risks, […]

https://hernanhuwyler.wordpress.com/2026/05/08/the-pren-18228-problem-why-your-ai-risk-assessment-will-fail-the-first-real-test/