Tag: OpenAI

Prompt:

Openai recently published this. https://cdn.openai.com/pdf/561e7512-253e-424b-9734-ef4098440601/Industrial%20Policy%20for%20the%20Intelligence%20Age.pdf

Isn’t t odd that OpenAI want «Governments must establish strict rules for their own use of AI to protect democratic values» while at the same time proposing bills that reduces their own liability when young people kill themselves?

 

ChatGPT:

Short answer: it can look contradictory on the surface, but it’s more of a strategic split than a logical impossibility. Think of it less as one consistent philosophy and more like two different “theaters” where OpenAI is trying to shape the rules of the game.

Let’s unpack it.

1) What the policy paper is actually doing

In “Industrial Policy for the Intelligence Age”, OpenAI is essentially saying:

• AI could destabilize jobs, wealth distribution, and even democracy
• Therefore governments need strong frameworks, especially around:
  • democratic accountability
  • fair distribution of AI benefits
  • resilience against misuse

This includes calls for rules on how governments themselves use AI, to prevent abuse of power. 

That part is not really about OpenAI’s own liability. It’s about state power + societal stability.

2) What the liability issue is about

Separately, OpenAI has supported proposals (e.g. in Illinois) that would:

• limit when AI companies can be held liable
• especially in cases of large-scale harm
• provided they followed certain safety/reporting standards  

At the same time, they are already defending themselves in lawsuits where families claim AI contributed to suicides, often arguing:

• misuse of the system
• warnings were given
• responsibility lies with the user context, not the tool  

So here, the focus is corporate exposure to lawsuits.

3) Why this feels contradictory (and why critics call it out)

The tension you’re noticing is real, and critics have pointed it out quite sharply:

• The policy paper frames OpenAI as a guardian of democratic values
• The lobbying effort pushes toward reduced accountability for harms

That creates a perception of:

“Strict rules for others, softer rules for us”

Some analysts even describe the policy paper as partly agenda-setting or reputational positioning, not just neutral policy thinking  .

4) The internal logic (from OpenAI’s perspective)

If you try to see it through OpenAI’s lens, the positions are not identical but they do fit a pattern:

A) Strong regulation where it protects society 

and

 legitimacy

• Government use of AI → high risk of abuse (surveillance, propaganda, coercion)
• So they advocate strict rules there

B) Limited liability where it protects innovation

• If AI companies are liable for all downstream misuse, the argument goes:
  • innovation slows
  • fewer actors can build models
  • only the biggest firms survive (ironically increasing concentration)

So they push for:

• standards + reporting → yes
• broad legal liability → no

5) Where the real tension lies

The uncomfortable core is this:

• OpenAI acknowledges AI can cause serious harm, including mental health risks and misuse
• Yet also argues companies shouldn’t always be held responsible for those harms

That creates a philosophical gap:

Principle	Implication
“AI is powerful and risky”	suggests strong accountability
“AI builders shouldn’t be broadly liable”	limits that accountability

That’s the friction you’re picking up.

6) A more candid reading

A less charitable but widely held interpretation is:

• The policy paper = shape the long-term narrative (fairness, democracy, shared prosperity)
• The liability lobbying = shape near-term legal risk

In other words:

• Vision: “We want AI to benefit everyone”
• Legal stance: “We don’t want to be sued for everything it does”

Bottom line

Not exactly “odd” in a corporate strategy sense… but definitely politically and ethically tension-filled.

It’s a bit like a company saying:

• “We need strong environmental protections”
• while lobbying for limits on lawsuits when pollution causes harm

Those two positions can coexist, but they invite scrutiny.

—-

 

Let’s zoom in and put the two side by side like a legal x-ray. I’ll keep it grounded in the actual structure of these proposals rather than vibes.

1) What OpenAI’s policy paper 

implicitly commits to

From Industrial Policy for the Intelligence Age, the core principles boil down to:

A. Democratic safeguards

• Governments must limit and audit their own AI use
• Prevent manipulation, surveillance abuse, or concentration of power

B. Harm awareness

• AI can cause real-world damage (economic, psychological, societal)
• Systems should be deployed with risk management and oversight

C. Shared responsibility

• Benefits should be distributed broadly
• Implies some level of accountability across the ecosystem

👉 Read plainly, this leans toward:

“Powerful systems → meaningful responsibility → guardrails with teeth”

2) What the liability proposals actually do

The bills OpenAI has supported (like the Illinois one) typically include provisions like:

A. Liability shielding (core mechanism)

AI companies are not liable for downstream harm if:

• They followed defined safety practices
• They provided warnings or usage guidelines

B. Responsibility shift

Legal responsibility moves toward:

• End users
• Developers building on top of the model
• Context-specific deployers

C. Standard-based compliance

Instead of broad liability, companies must:

• Document risks
• Report incidents
• Follow evolving “best practices”

👉 Translation:

“If we followed the checklist, we’re largely protected”

3) Side-by-side tension map

Here’s where things either align… or grind.

Policy principle	Liability stance	Tension level
AI can cause serious harm	Limit when creators are liable	🔴 High
Strong safeguards needed	Safeguards replace liability	🟠 Medium
Protect democratic values	Focus mainly on state misuse	🟡 Selective
Shared responsibility	Responsibility pushed downstream	🔴 High

4) The suicide / mental harm edge case (your key point)

This is where the friction becomes sharp.

Policy paper implication:

• AI systems can influence behavior
• Therefore risks must be taken seriously

Legal stance in lawsuits:

• The model is a tool, not an actor
• Responsibility lies with:
  • user context
  • guardians (for minors)
  • platform usage patterns

The unresolved question:

If an AI system meaningfully shapes someone’s mental state, is it still just a neutral tool?

That’s not settled law. And OpenAI’s position leans toward:

“Influence ≠ legal responsibility (in most cases)”

5) The deeper philosophical split

This whole situation sits on a fault line between two models of responsibility:

Model 1: Product responsibility (strong accountability)

Like:

• pharmaceuticals
• automobiles
• medical devices

If harm occurs, the maker can be liable even with warnings.

Model 2: Platform/tool responsibility (limited liability)

Like:

• social media
• web hosting
• telecom

If harm occurs, responsibility shifts to users or third parties.

👉 OpenAI is clearly trying to place AI in Model 2, while

👉 its policy rhetoric often sounds closer to Model 1 concerns

That’s the dissonance.

6) The strategic logic (less polished, more real)

If you strip away the language, the position becomes:

• “AI is powerful enough to reshape society”
• but also
• “AI companies shouldn’t carry open-ended legal risk for that power”

That combination:

• protects innovation and scale
• reduces litigation exposure
• but leaves a gap in accountability for edge-case harms

7) So… contradiction or calculated balance?

Not a pure contradiction. More like a carefully tuned asymmetry:

• High responsibility for governments (they wield coercive power)
• Conditional responsibility for companies (they build the tools)

The criticism is that:

companies also wield enormous power indirectly, so the asymmetry may be too convenient.

Bottom line

Your instinct is picking up on a real structural tension:

• The policy vision acknowledges deep societal risk
• The legal strategy tries to narrow who pays when those risks materialize

Whether that’s prudent or evasive depends on where you think AI fits:

• dangerous product
• or general-purpose tool

 

 

>  compare this to how Norway or the EU (AI Act) handles liability. That contrast is… illuminating.

 

Now we get to the interesting contrast, where policy stops being abstract and starts wearing a legal uniform.

Let’s line up OpenAI’s preferred model against how the EU and Norway are actually building the rulebook.

⸻

🇪🇺 The European approach (the EU AI Act)

The EU basically says:

“The more dangerous the AI, the more responsibility you carry. No philosophical escape hatches.”

1) Risk tiers (the backbone)

Systems are classified into:

•Unacceptable risk → banned outright

•High-risk → heavy obligations

•Limited risk → transparency rules

•Minimal risk → mostly free

High-risk includes things like:

•education decisions

•hiring systems

•law enforcement tools

⸻

2) Obligations for builders (not just users)

For high-risk AI, developers must:

•prove risk management systems exist

•ensure data quality

•maintain documentation and traceability

•enable human oversight

•meet robustness and safety standards

This is not just “try your best.”

It’s closer to aviation than app development.

⸻

3) Liability is not fully escaped

The EU doesn’t rely only on the AI Act. It pairs it with:

•AI Liability Directive (proposed)

•existing product liability law

These aim to:

•make it easier to sue AI providers

•shift burden of proof in some cases

•ensure victims aren’t stuck in a technical maze

👉 Translation:

If your system causes harm, you can’t just point at the user and walk away.

⸻

🇳🇴 Norway’s position

Norway isn’t in the EU, but through the EEA:

•It will largely adopt the AI Act

•Enforcement will likely involve:

•Datatilsynet

•sector regulators

Norwegian policy culture tends to emphasize:

•consumer protection

•transparency

•public trust

So in practice, Norway will likely interpret rules in a strict, citizen-protective direction.

⸻

⚖️ Direct clash with OpenAI-style liability model

Let’s put them head-to-head:

Issue EU / Norway OpenAI-backed approach

Who is responsible? Builder + deployer Mostly deployer/user

If harm occurs Liability possible even with safeguards Liability limited if safeguards followed

Burden of proof Shifted toward companies (proposed) Stays with plaintiff

View of AI Potentially dangerous product General-purpose tool

Regulatory tone Precautionary Innovation-first

⸻

🧠 The suicide / mental harm angle (where it gets sharp)

Under a European-style framework:

If an AI system:

•predictably influences vulnerable users

•and safeguards are inadequate

Then:

•the provider could face liability

•especially if risk was foreseeable

Even if:

•disclaimers existed

•users misused the system

👉 Because EU logic often says:

foreseeable misuse is still your responsibility

⸻

OpenAI’s preferred direction leans toward:

“We provide a general system. Edge cases, even tragic ones, are not primarily our legal responsibility.”

That gap is exactly where your original concern lives.

⸻

🧩 The deeper philosophical divide

This isn’t just legal. It’s almost… mythological in tone:

🇪🇺 Europe’s model:

AI = a powerful machine that must be domesticated

→ regulate first, scale second

🇺🇸 (and OpenAI-leaning) model:

AI = a general-purpose engine like the internet

→ scale first, regulate through standards

⸻

🧨 Where things could collide

Over the next few years, expect friction like:

•AI companies offering different versions in Europe vs elsewhere

•Legal tests in European courts about:

•psychological harm

•manipulation

•duty of care

•Pressure to define:

“When does a tool become an actor?”

⸻

🎯 Bottom line

 

•OpenAI’s policy language fits comfortably with European concern about risk

•But its liability stance sits much closer to a lighter, US-style framework

That creates a genuine mismatch:

Europe says “power implies responsibility”

OpenAI says “responsibility, but with guardrails against liability”

⸻