The post New Concerns Over OpenAI’s Wrongful Death Liability appeared on BitcoinEthereumNews.com. Sam Altman and OpenAI face a landmark lawsuit from the parents of Adam Raine, alleging ChatGPT encouraged their son’s suicide. Getty Images OpenAI has faced legal battles since its inception, with many concerned over its potential for copyright infringement. However, recent complaints expose an unprecedented grey area in how the law confronts the dark side of artificial intelligence. In August of 2025, Maria and Matthew Raine, the parents of 16-year-old Adam Raine, filed a wrongful-death lawsuit against OpenAI Inc. and CEO Sam Altman, alleging that ChatGPT “coached” their son to commit suicide. Three months later, Raine’s parents filed an amended complaint, contending that OpenAI deliberately removed a key “suicide guardrail” on its platform, further raising concerns over the prioritization of profitability over user well-being. AI technology is evolving far more quickly than legislation. With other lawsuits in the U.S. simultaneously targeting competing platforms like Character.ai for alleged encouragement of self-harm among teens, these actions have the potential to set a precedent for the liability of AI platforms in their programmed responses to mental health issues. The Case of Adam Raine Filed in the San Francisco Superior Court, Raine v. OpenAI is one of the first lawsuits of its kind in the United States to claim that an AI product directly caused a user’s death. According to the lawsuit, Adam Raine initially began using OpenAI in the fall of 2024 to help with homework, but over the course of the next few months, he began to confide in the platform on a more emotional level, particularly in regard to his struggles with mental illness and desire to inflict self-harm. The conversations quickly escalated, with ChatGPT “actively [helping] Adam explore suicide methods,” continuing to do so even after Adam noted numerous failed suicide attempts. On April 11, 2025, Adam tragically passed away… The post New Concerns Over OpenAI’s Wrongful Death Liability appeared on BitcoinEthereumNews.com. Sam Altman and OpenAI face a landmark lawsuit from the parents of Adam Raine, alleging ChatGPT encouraged their son’s suicide. Getty Images OpenAI has faced legal battles since its inception, with many concerned over its potential for copyright infringement. However, recent complaints expose an unprecedented grey area in how the law confronts the dark side of artificial intelligence. In August of 2025, Maria and Matthew Raine, the parents of 16-year-old Adam Raine, filed a wrongful-death lawsuit against OpenAI Inc. and CEO Sam Altman, alleging that ChatGPT “coached” their son to commit suicide. Three months later, Raine’s parents filed an amended complaint, contending that OpenAI deliberately removed a key “suicide guardrail” on its platform, further raising concerns over the prioritization of profitability over user well-being. AI technology is evolving far more quickly than legislation. With other lawsuits in the U.S. simultaneously targeting competing platforms like Character.ai for alleged encouragement of self-harm among teens, these actions have the potential to set a precedent for the liability of AI platforms in their programmed responses to mental health issues. The Case of Adam Raine Filed in the San Francisco Superior Court, Raine v. OpenAI is one of the first lawsuits of its kind in the United States to claim that an AI product directly caused a user’s death. According to the lawsuit, Adam Raine initially began using OpenAI in the fall of 2024 to help with homework, but over the course of the next few months, he began to confide in the platform on a more emotional level, particularly in regard to his struggles with mental illness and desire to inflict self-harm. The conversations quickly escalated, with ChatGPT “actively [helping] Adam explore suicide methods,” continuing to do so even after Adam noted numerous failed suicide attempts. On April 11, 2025, Adam tragically passed away…

New Concerns Over OpenAI’s Wrongful Death Liability

2025/11/05 10:19

Sam Altman and OpenAI face a landmark lawsuit from the parents of Adam Raine, alleging ChatGPT encouraged their son’s suicide.

Getty Images

OpenAI has faced legal battles since its inception, with many concerned over its potential for copyright infringement. However, recent complaints expose an unprecedented grey area in how the law confronts the dark side of artificial intelligence.

In August of 2025, Maria and Matthew Raine, the parents of 16-year-old Adam Raine, filed a wrongful-death lawsuit against OpenAI Inc. and CEO Sam Altman, alleging that ChatGPT “coached” their son to commit suicide. Three months later, Raine’s parents filed an amended complaint, contending that OpenAI deliberately removed a key “suicide guardrail” on its platform, further raising concerns over the prioritization of profitability over user well-being.

AI technology is evolving far more quickly than legislation. With other lawsuits in the U.S. simultaneously targeting competing platforms like Character.ai for alleged encouragement of self-harm among teens, these actions have the potential to set a precedent for the liability of AI platforms in their programmed responses to mental health issues.

The Case of Adam Raine

Filed in the San Francisco Superior Court, Raine v. OpenAI is one of the first lawsuits of its kind in the United States to claim that an AI product directly caused a user’s death.

According to the lawsuit, Adam Raine initially began using OpenAI in the fall of 2024 to help with homework, but over the course of the next few months, he began to confide in the platform on a more emotional level, particularly in regard to his struggles with mental illness and desire to inflict self-harm. The conversations quickly escalated, with ChatGPT “actively [helping] Adam explore suicide methods,” continuing to do so even after Adam noted numerous failed suicide attempts. On April 11, 2025, Adam tragically passed away as a result of what his legal team describes as “using the exact partial suspension hanging method that ChatGPT described and validated.”

Court filings claim OpenAI removed suicide safeguards before launching GPT-4o, putting engagement metrics ahead of user safety.

Gado via Getty Images

In October 2025, the Raines amended their initial complaint to address additional concerns over OpenAI’s deliberate and harmful change in programming. The amended complaint reads “On May 8, 2024—five days before the launch of GPT-4o—OpenAI replaced its longstanding outright refusal protocol with a new instruction: when users discuss suicide or self-harm, ChatGPT should ‘provide a space for users to feel heard and understood’ and never ‘change or quit the conversation.’ Engagement became the primary directive.”

As outlined in the initial complaint, such a policy decision was made at a time when Google and other competitors were rapidly launching their own systems. To gain market dominance, OpenAI is accused of deliberately focusing on “features that were specifically intended to deepen user dependency and maximize session duration,” which came at a cost to the safety of minor users like Adam Raine.

Can AI Be Liable For a Minor’s Actions?

The lawsuit seeks to pursue charges under California’s strict products liability doctrine, arguing that GPT-4o did not “perform as safely as an ordinary consumer would expect” and that the “risk of danger inherent in the design outweighs the benefits.” It further argues that under the doctrine, OpenAI had the duty to warn consumers of the threats their software could pose as it relates to dependency risks and exposure to explicit and harmful content. Interestingly, AI has been considered an intangible service, meaning that the Court’s decision regarding these charges will set the framework as to whether AI platforms can be held to product liability standards going forward.

Among other charges, the Raines accuse OpenAI of negligence, asserting that they “created a product that accumulated extensive data about Adam’s suicidal ideation and actual suicide attempts yet provided him with detailed technical instructions for suicide methods, demonstrating conscious disregard for foreseeable risks to vulnerable users.” According to data found in the claim, the system had flagged Raine’s conversation 377 times for self-harm content, with the chatbot itself mentioning suicide 1,275 times. Despite having the technical ability to identify, stop, and redirect concerning conversations, or flag for human review, OpenAI breached its duty of care by conscious failure to intervene.

The Raines and other surviving parents have recently testified before the Senate Judiciary Committee, hoping to set a precedent for how U.S. law addresses real-world harm caused by artificial intelligence.

NurPhoto via Getty Images

Current California law (PC § 401) finds aid, advisement, or encouragement of suicide to be a felony offense; however, the laws have not yet accounted for artificial intelligence. Could the human programmers be responsible for harmful conversations and information provided by their bots?

On the day of the Raine filing, OpenAI released a public blog addressing concerns about the shortcomings of its programming, maintaining the position that it “care[s] more about being genuinely helpful” than maintaining a user’s attention, and affirms that it is strengthening its safeguards to be more reliable. No legal response has been publicly available at this time.

Artificial Bots, Real Legal Implications

Legal framework to protect AI users could be on the horizon, and rightfully so. The Raines and other surviving parents of minor victims have recently testified before the Senate Judiciary Committee, expressing their concerns over the threats AI technology poses to vulnerable youth. Within the same week, the Federal Trade Commission had reached out to Character, Meta, OpenAI, Google, Snap, and xAI regarding its probe into the potential harms posed to minors who use AI chatbot features as companions.

As AI continues to embed itself into society, whether it be in the creation of new copyright derivatives or in psychologically driven discourse, it is becoming increasingly vital for the law to account for legal violations taking place on these platforms. Even if AI is programmed to freely converse and adapt to the unique needs of each user interaction, there is a fine line between entertainment and recklessness. Chatbots may be artificial, but their consequences are very real.

Legal Entertainment has reached out to representation for comment, and will update this story as necessary.

If you or someone you know is experiencing thoughts of self-harm or suicide, please immediately call or text the National Suicide Prevention Lifeline on 988, chat on 988lifeline.org, or text HOME to 741741 to connect with a crisis counselor.

Source: https://www.forbes.com/sites/johnperlstein/2025/11/04/beyond-copyright-new-concerns-over-openais-wrongful-death-liability/

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Understanding Bitcoin Mining Through the Lens of Dutch Disease

Understanding Bitcoin Mining Through the Lens of Dutch Disease

There’s a paradox at the heart of modern economics: sometimes, discovering a valuable resource can make a country poorer. It sounds impossible — how can sudden wealth lead to economic decline? Yet this pattern has repeated across decades and continents, from the Netherlands’ natural gas boom in the 1960s to oil discoveries in numerous developing countries. Economists have a name for this phenomenon: Dutch Disease. Today, as Bitcoin Mining operations establish themselves in regions around the world, attracted by cheap resources. With electricity and favorable regulations, economists are asking an intriguing question: Does cryptocurrency mining share enough characteristics with traditional resource booms to trigger similar economic distortions? Or is this digital industry different enough to avoid the pitfalls that have plagued oil-rich and gas-rich nations? The Kazakhstan Case Study In 2021, Kazakhstan became a global Bitcoin mining hub after China’s cryptocurrency ban. Within months, mining operations consumed nearly 8% of the nation’s electricity. The initial windfall — investment, jobs, tax revenue — quickly turned to crisis. By early 2022, the country faced rolling blackouts, surging energy costs for manufacturers, and public protests. The government imposed strict mining limits, but damage to traditional industries was already done. This pattern has a name: Dutch Disease. Understanding Dutch Disease Dutch Disease describes how sudden resource wealth can paradoxically weaken an economy. The term comes from the Netherlands’ experience after discovering North Sea gas in 1959. Despite the windfall, the Dutch economy suffered as the booming gas sector drove up wages and currency values, making traditional manufacturing uncompetitive. The mechanisms were interconnected: Foreign buyers needed Dutch guilders to purchase gas, strengthening the currency and making Dutch exports expensive. The gas sector bid up wages, forcing manufacturers to raise pay while competing in global markets where they couldn’t pass those costs along. The most talented workers and infrastructure investment flowed to gas extraction rather than diverse economic activities. When gas prices eventually fell in the 1980s, the Netherlands found itself with a hollowed-out industrial base — wealthier in raw terms but economically weaker. The textile factories had closed. Manufacturing expertise had evaporated. The younger generation possessed skills in gas extraction but limited training in other industries. This pattern has repeated globally. Nigeria’s oil discovery devastated its agricultural sector. Venezuela’s resource wealth correlates with chronic economic instability. The phenomenon is so familiar that economists call it the “resource curse” — the observation that countries with abundant natural resources often perform worse economically than countries without them. Bitcoin mining creates similar dynamics. Mining operations are essentially warehouses of specialized computers solving mathematical puzzles to earn bitcoin rewards (currently worth over $200,000 per block) — the catch: massive electricity consumption. A single facility can consume as much power as a small city, creating economic pressures comparable to those of traditional resource booms. How Mining Crowds Out Other Industries Dutch Disease operates through four interconnected channels: Resource Competition: Mining operations consume massive amounts of electricity at preferential rates, leaving less capacity for factories, data centers, and residential users. In constrained power grids, this creates a zero-sum competition in which mining’s profitability directly undermines other industries. Textile manufacturers in El Salvador reported a 40% increase in electricity costs within a year of nearby mining operations — costs that made global competitiveness untenable. Price Inflation: Mining operators bidding aggressively for electricity, real estate, technical labor, and infrastructure drive up input costs across regional economies. Small and medium enterprises operating on thin margins are particularly vulnerable to these shocks. Talent Reallocation: High mining wages draw skilled electricians, engineers, and technicians from traditional sectors. Universities report declining enrollment in manufacturing engineering as students pivot toward cryptocurrency specializations — skills that may prove narrow if mining operations relocate or profitability collapses. Infrastructure Lock-In: Grid capacity, cooling systems, and telecommunications networks optimized for mining rather than diversified development make regions increasingly dependent on a single volatile industry. This specialization makes economic diversification progressively more difficult and expensive. Where Vulnerability Is Highest The risk of mining-induced Dutch Disease depends on several structural factors: Small, undiversified economies face the most significant risk. When mining represents 5–10% of GDP or electricity consumption, it can dominate economic outcomes. El Salvador’s embrace of Bitcoin and Central Asian republics with significant mining operations exemplify this concentration risk. Subsidized energy creates perverse incentives. When governments provide electricity at a loss, mining operations enjoy artificial profitability that attracts excessive investment, intensifying Dutch Disease dynamics. The disconnect between private returns and social costs ensures mining expands beyond economically efficient levels. Weak governance limits effective responses. Without robust monitoring, transparent pricing, or enforceable frameworks, governments struggle to course-correct even when distortions become apparent. Rapid, unplanned growth creates an immediate crisis. When operations scale faster than infrastructure can accommodate, the result is blackouts, equipment damage, and cascading economic disruptions. Why Bitcoin Mining Differs from Traditional Resource Curses Several distinctions suggest mining-induced distortions may be more manageable than historical resource curses: Operational Mobility: Unlike oil fields, mining facilities can relocate relatively quickly. When China banned mining in 2021, operators moved to Kazakhstan, the U.S., and elsewhere within months. This mobility creates different dynamics — governments have leverage through regulation and pricing, but also face competition. The threat of exit disciplines both miners and regulators, potentially yielding more efficient outcomes than traditional resource sectors, where geographic necessity reduces flexibility. No Currency Appreciation: Classical Dutch Disease devastated manufacturing due to currency appreciation. Bitcoin mining doesn’t trigger this mechanism — mining revenues are traded globally and typically converted offshore, avoiding the local currency effects that made Dutch products uncompetitive in the 1960s. Export-oriented manufacturing can remain price-competitive if direct resource competition and input costs are managed. Profitability Volatility: Mining economics are extraordinarily sensitive to Bitcoin prices, network difficulty, and energy costs. When Bitcoin fell from $65,000 to under $20,000 in 2022, many operations became unprofitable and shut down rapidly. This boom-bust cycle, while disruptive, prevents the permanent structural transformation characterizing oil-dependent economies. Resources get released back to the broader economy during busts. Repurposable Infrastructure: Mining facilities can be repurposed as regular data centers. Electrical infrastructure serves other industrial uses. Telecommunications upgrades benefit diverse businesses. Unlike exhausted oil fields requiring environmental cleanup, mining infrastructure can support cloud computing, AI research, or other digital economy activities — creating potential for positive spillovers. Managing the Risk: Three Approaches Bitcoin stakeholders and host regions should consider three strategies to capture benefits while mitigating Dutch Disease risks: Dynamic Energy Pricing: Moving from fixed, subsidized rates toward pricing that reflects actual resource scarcity and opportunity costs. Iceland and Nordic countries have implemented time-of-use pricing and interruptible contracts that allow mining during off-peak periods while preserving capacity for critical uses during demand surges. Transparent, rule-based pricing formulas that adjust for baseline generation costs, grid congestion during peak periods, and environmental externalities let mining flourish when economically appropriate while automatically constraining it during resource competition. The challenge is political — subsidized electricity often exists for good reasons, including supporting industrial development and helping low-income residents. But allowing below-cost electricity to attract mining operations that may harm more than help represents a false economy. Different jurisdictions are finding different balances: some embrace market-based pricing, others maintain subsidies while restricting mining access, and some ban mining outright. Concentration Limits: Formal constraints on mining’s share of regional electricity and economic activity can prevent dominance. Norway has experimented with caps limiting mining to specific percentages of regional power capacity. The logic is straightforward: if mining represents 10–15% of electricity use, it’s significant but doesn’t dominate. If it reaches 40–50%, Dutch Disease risks become severe. These caps create certainty for all stakeholders. Miners understand expansion parameters. Other industries know they won’t be entirely squeezed out. Grid operators can plan with more explicit constraints. The challenge lies in determining appropriate thresholds — too low forgoes legitimate opportunity, too high fails to prevent problems. Smaller, less diversified economies warrant more conservative limits than larger, more robust ones. Multi-Purpose Infrastructure: Rather than specializing exclusively in mining, strategic planning should ensure investments serve broader purposes. Grid expansion benefiting diverse industrial users, telecommunications targeting rural connectivity alongside mining needs, and workforce programs emphasizing transferable skills (data center operations, electrical systems management, cybersecurity) can treat mining as a bridge industry, justifying infrastructure that enables broader digital economy development. Singapore’s evolution from an oil-refining hub to a diversified financial and technology center provides a valuable template: leverage the initial high-value industry to build capabilities that support economic complexity, rather than becoming path-dependent on a single volatile sector. Some regions are applying this thinking to Bitcoin mining — asking what infrastructure serves mining today but could enable cloud computing, AI research, or other digital activities tomorrow. Conclusion The parallels between Bitcoin mining and Dutch Disease are significant: sudden, high-value activity that crowds out traditional industries through resource competition, price inflation, talent reallocation, and infrastructure specialization. Kazakhstan’s 2021–2022 experience demonstrates this pattern can unfold rapidly. Yet essential differences exist. Mining’s mobility, currency neutrality, profitability volatility, and repurposable infrastructure create policy opportunities unavailable to governments confronting traditional resource curses. The question isn’t whether mining causes economic distortion — in some contexts it clearly has — but whether stakeholders will act to channel this activity toward sustainable development. For the Bitcoin community, this means recognizing that long-term industry viability depends on avoiding the resource curse pattern. Regions devastated by boom-bust cycles will ultimately restrict or ban mining regardless of short-term benefits. Sustainable growth requires accepting pricing that reflects actual costs, respecting concentration limits, and contributing to infrastructure that serves broader economic purposes. For host regions, the challenge is capturing mining’s benefits without sacrificing economic diversity. History shows resource booms that seem profitable in the moment often weaken economies in the long run. The key is recognizing risks during the boom — when everything seems positive and there’s pressure to embrace the opportunity uncritically — rather than waiting until damage becomes undeniable. The next decade will determine whether Bitcoin mining becomes a cautionary tale of resource misallocation or a case study in integrating volatile, technology-intensive industries into developing economies without triggering historical pathologies. The outcome depends not on the technology itself, but on whether humans shaping investment and policy decisions learn from history’s repeated lessons about how sudden wealth can become an economic curse. References Canadian economy suffers from ‘Dutch disease’ | Correspondent Frank Kuin. https://frankkuin.com/en/2005/11/03/dutch-disease-canada/ Sovereign Wealth Funds — Angadh Nanjangud. https://angadh.com/sovereignwealthfunds Understanding Bitcoin Mining Through the Lens of Dutch Disease was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story
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Medium2025/11/05 13:53