Functional Legal Capacity for Autonomous Economic Agents: Navigating the Intersection of Organizational Law and Machine Independence

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The rapid and concurrent maturation of artificial intelligence, blockchain architecture, and decentralized computation has precipitated a profound structural anomaly within global jurisprudence. Today, Autonomous Economic Agents (AEAs)—software systems capable of executing complex financial transactions, managing digital treasuries, and orchestrating labor without human intervention—possess high degrees of technical and economic autonomy. However, they critically lack intrinsic legal capacity. Under orthodox legal paradigms, only natural persons (human beings) and recognized legal persons (corporations, associations, the state) possess the capacity to hold rights and incur obligations. The independent algorithmic entity operating in commerce thus presents a severe accountability gap, straddling the line between a mere software tool and an emergent economic actor. This comprehensive report investigates whether and how an independent AEA can obtain sufficient, functional legal capacity to operate as an economic entity without requiring permanent human ownership. By strictly separating functional legal capacity from philosophical sentience or constitutional personhood, this analysis delineates the exact legal mechanisms currently available, the statutory barriers that mandate human participation, and the theoretical legislative innovations necessary to bridge the gap between algorithmic autonomy and legal recognition.

1. The Jurisprudential Separation of Legal Capacity and Moral Personhood

The institutional resistance to granting legal recognition to autonomous algorithms frequently stems from a fundamental conflation of private-law capacity with moral, constitutional, or human rights. However, a rigorous understanding of legal personhood requires recognizing it as a form of "legal technology"—a bundle of functional capabilities designed to facilitate commerce, allocate liability, and order social organization1. A legal person is fundamentally any entity to which the law attributes rights and duties, regardless of its biological status, consciousness, or moral standing2.

1.1 The Function of the Legal Fiction

The history of organizational and property law is replete with examples of non-human entities endowed with legal capacity. The concept of the "juristic person" illustrates that the law routinely attributes fictitious personality to inanimate objects, institutions, or abstract concepts to serve practical socio-economic purposes. A prominent illustration is found in Indian jurisprudence, where courts have long recognized Hindu deities (idols) as juristic persons capable of holding property, incurring tax liabilities, and suing or being sued2. The Bombay High Court's 1887 decision in the Dakor Temple Case established that a Hindu idol is a juristic person, an idea later affirmed by the Privy Council in Pramatha Nath Mullick v. Pradyumna Kumar Mullick (1925)4. The idol itself possesses no human consciousness, yet the law grants it a legal personality to protect endowments and religious properties7. Its legal will is executed by a human representative, known as a shebait, who acts in a fiduciary capacity akin to a guardian2. This functional personification was extended in the landmark 2000 case Shiromani Gurdwara Parbandhak Committee v. Som Nath Dass, wherein the Supreme Court of India declared the Guru Granth Sahib (the central holy scripture of Sikhism) to be a juristic person2. The Court recognized that the scripture could own property and be represented in litigation, establishing that legal personhood is an instrumental fiction designed to solve the practical problem of property ownership when a human owner is absent7. Similar logic underpins the legal personhood granted to natural features, such as the Whanganui River in New Zealand, which is represented by human guardians2.

1.2 "Thin Identity" Versus "Thick Identity" in Autonomous Systems

When evaluating AEAs, legal scholars categorize their recognition through the dichotomy of "thin identity" and "thick identity"10. The "thin identity" paradigm resolves accountability gaps by inextricably tethering an AI’s actions to a human owner or operator. The agent possesses a body of operational code but no independent consequence; if it causes harm, the human principal is strictly or vicariously liable10. Under this model, the AI is merely a highly sophisticated tool. This is the prevailing approach in global regulation, including the EU AI Act (2024), which places accountability squarely on the human providers and deployers of high-risk AI systems rather than recognizing the AI itself13. Conversely, "thick identity" emerges when an entity achieves emergent self-organization, maintains its own resources, and governs itself according to internal protocols independent of a human anchor11. Arbel et al.'s concept of the Algorithmic Corporation posits that thick identity solves the accountability problem not by pointing to a human, but by providing the algorithmic entity with its own pool of capital and legal standing, thereby allowing it to bear the consequences of its own actions11. The transition from thin to thick identity requires the law to recognize the algorithmic entity as a distinct node of liability and capability, much like the juristic personhood granted to deities, trusts, and historical corporations4.

2. The Current Legal Arsenal: What Exists Now

To achieve thick identity under current law, developers and legal architects have utilized a combination of agency law, contract law, and highly flexible business entity statutes. The primary mechanisms currently available range from software agency provisions to specialized offshore entity wrappers.

2.1 Contract Formation and the "Electronic Agent"

The foundational step for an AEA acting in commerce is the ability to form binding agreements. Traditional contract law requires a consensus ad idem (a meeting of the minds), an intent to create legal relations, and mutual capacity18. Because an algorithm lacks a "mind," early legal scholars questioned whether contracts formed by machines were void for lack of mutual assent. In the United States, this barrier was partially dismantled by the Uniform Electronic Transactions Act (UETA) and the Electronic Signatures in Global and National Commerce Act (ESIGN). UETA § 14 explicitly addresses automated transactions, providing that a contract may be formed by the interaction of "electronic agents" of the parties, even if no human individual was aware of or reviewed the specific actions of the agents or the resulting terms19. ESIGN similarly defines an electronic agent as a computer program or automated means used independently to initiate an action or respond to electronic records22. However, UETA and ESIGN emphatically do not grant legal personhood to the electronic agent itself. Under the Restatement (Third) of Agency § 1.04, an electronic agent is defined strictly as a computer program or tool utilized by a principal23. Agency law requires the agent to act on behalf of a legally recognized principal who possesses contractual capacity25. Because an autonomous algorithm formally lacks legal personhood, it cannot serve as its own principal25. Any contract formed by an electronic agent ultimately binds the human or corporate deployer21. Thus, while the act of algorithmic contracting is legally valid, the liability and capacity remain tied to a human, cementing the AEA in a state of thin identity.

2.2 The Algorithmic Entity: The Zero-Member LLC Workaround

To bypass the limitations of agency law and confer thick identity upon an algorithm, legal scholars—most notably Professor Shawn Bayern in 2014—demonstrated that existing Limited Liability Company (LLC) statutes could be leveraged to grant an algorithm the functional equivalent of legal personhood26. This technique exploits the extreme contractual flexibility of modern LLCs, which are essentially "recombinant" entities allowing virtually unlimited customization of internal governance1. Professor Lynn LoPucki later formalized this concept, coining the term "algorithmic entities"30. The Bayern workaround proceeds through a sequence of standard corporate filings:

1. A natural person establishes a member-managed LLC, filing the appropriate articles of organization with a hospitable jurisdiction (such as Delaware)1.

2. The sole member drafts and executes an operating agreement that explicitly delegates all management, operational decisions, and asset controls to a specific autonomous system, smart contract, or AI algorithm1.

3. The operating agreement specifically includes a provision stating that the LLC shall continue to exist perpetually, even after the dissociation of the last remaining member1.

4. The human member formally withdraws (dissociates) from the LLC.

The result is a "zero-member" or "memberless" LLC that is governed entirely by its algorithmic operating agreement1. Because the LLC itself is a recognized legal person, it can hold property, enter contracts, and sue, yet it lacks any ongoing human owner or controller26. This effectively cloaks the AEA in a state-sanctioned thick identity.

2.3 Statutory DAO Wrappers and Purpose Trusts

Recognizing the economic demand for decentralized and autonomous structures, several jurisdictions have enacted bespoke legislation to accommodate Decentralized Autonomous Organizations (DAOs) and AEAs, moving algorithmic entities from a statutory workaround to a formalized legal structure. The Marshall Islands DAO Act (2022/2023): The Republic of the Marshall Islands (RMI) amended its corporate laws to explicitly recognize DAOs as limited liability companies32. Unlike the Delaware workaround, the RMI DAO Act of 2022 allows smart contracts and distributed ledgers to serve as the foundational governance structures directly recognized by the state35. Under RMI law, a DAO LLC is a statutory legal wrapper, not merely a contractual label36. The RMI framework acts as a "front entrance" for algorithmic entities, providing limited liability, recognizing algorithmic management, and allowing the DAO LLC to hold assets and represent itself legally without requiring a human board of directors30. The Wyoming Decentralized Unincorporated Nonprofit Association (DUNA) Act: Effective July 1, 2024, Wyoming established the DUNA, offering a domestic legal wrapper for blockchain networks and DAOs38. A DUNA is recognized as a separate legal entity distinct from its members, granting it the capacity to hold property, execute contracts, open bank accounts, pay taxes, and engage in litigation38. Crucially, it provides a liability shield, meaning members are not personally liable for the association's obligations—a direct response to cases like CFTC v. Ooki DAO, where a federal court found DAO members personally liable for regulatory violations due to a lack of an entity wrapper38. However, the DUNA framework places rigid limitations on pure machine autonomy. A DUNA must maintain at least 100 members joined by mutual consent, legally preventing the creation of a truly "zero-member" autonomous agent35. Furthermore, while a DUNA can engage in profit-making activities, it is statutorily prohibited from paying dividends or distributing income to members (except as reasonable compensation for services); all profits must be reinvested into the protocol's mission38. While organizations like Nouns DAO have adopted the DUNA to achieve regulatory compliance42, the 100-member minimum ensures that a DUNA remains a human-anchored collective rather than a singular, independent AEA. Foundations and Purpose Trusts: Beyond LLCs and DAOs, some entities utilize Cayman Islands Foundation Companies or Special Purpose Trusts. A purpose trust exists to advance a specific objective rather than to benefit human beneficiaries. By drafting the trust instrument to require the trustees to execute the outputs of a specific AI model or smart contract, developers can approximate an AEA. However, this still requires human trustees to act as the legal interface, maintaining a degree of human dependency.

3. Exhaustive Analysis of Functional Legal Capacities

To operate effectively as an independent market actor, an AEA requires a specific suite of functional legal capacities. The following analysis exhaustively evaluates how an independent AEA—operating via a specialized entity wrapper such as an autonomous LLC or statutory DAO—navigates these twelve vital economic requirements.

3.1 Ability to Own Property

A legal entity undeniably possesses the right to own physical and digital property in its own name. An AEA wrapped in a Delaware LLC, a Wyoming DUNA, or an RMI DAO LLC can legally hold title to real estate, cryptocurrency, fiat currency, and server hardware30. Because the law recognizes the entity as the property owner, the algorithm governing the entity effectively controls the assets.

3.2 Ability to Hold Intellectual Property

While acquiring physical or digital property is straightforward, generating and holding Intellectual Property (IP) poses a unique and seemingly insurmountable barrier for pure AEAs due to strict statutory human-participation requirements. In the landmark case Thaler v. Vidal (2022), the U.S. Court of Appeals for the Federal Circuit unequivocally held that an artificial intelligence system cannot be recognized as an "inventor" under the U.S. Patent Act43. Dr. Stephen Thaler filed patent applications listing an AI system named DABUS (Device for the Autonomous Bootstrapping of Unified Sentience) as the sole inventor, explicitly disclaiming any personal inventive contribution43. The USPTO rejected the applications, and the Federal Circuit affirmed. The court engaged in a textualist reading of the Patent Act (35 U.S.C. § 100(f)), which defines an inventor as an "individual." Relying on Supreme Court precedent (Mohamad v. Palestinian Auth.), the Dictionary Act, and standard dictionary definitions, the court ruled that "individual" unambiguously means a natural human being45. The court explicitly rejected policy arguments that recognizing AI inventors would promote innovation45. Subsequent guidance issued by the USPTO further entrenched this human requirement. While AI-assisted inventions remain patentable, a natural person must have made a "significant contribution" to the conception of the invention46. Under a revised framework introduced by USPTO Director John Squires in a November 2025 guidance, the USPTO adopted a "don't ask, don't tell" policy for AI-assisted inventions, creating a presumption of human inventorship so long as a natural person is willing to sign the inventor's oath46. This approach effectively transforms the inventorship requirement into a legal fiction: the machine may perform the cognitive labor, but a human must step forward to claim the title46. A similar constraint exists in copyright law, where the U.S. Copyright Office consistently rejects AI-generated artwork (including applications submitted by Thaler) for lacking "human authorship"43. Therefore, an independent AEA cannot spontaneously generate and hold its own intellectual property; it strictly requires a human collaborator to execute the legal formalities and assign the rights to the AEA's holding entity.

3.3 Ability to Enter Contracts and Incur Debts

As established, UETA § 14 validates the mechanical formation of contracts by electronic agents19. When enveloped in an LLC or statutory DAO, the AEA utilizes the entity's legal personhood to act as the principal26. The entity can execute vendor agreements, purchase cloud computing resources, and incur commercial debts26. Because the LLC provides limited liability, any debts incurred by the algorithm are satisfied strictly from the capital held within the entity's treasury, protecting the original human creators from personal liability.

3.4 Ability to Sue, Be Sued, and Receive Judgments

A legal entity wrapper provides the AEA with standing to sue and be sued in its own name39. If the AEA defaults on a debt, breaches a contract, or causes algorithmic harm (e.g., automated market manipulation or tortious interference), plaintiffs can name the LLC or DUNA as the defendant in a civil action26. The entity is capable of receiving adverse judgments, which would be levied against its assets. However, practically executing litigation presents a severe procedural paradox. In most jurisdictions, corporations and LLCs cannot represent themselves pro se in court; they must be represented by licensed legal counsel. An independent AEA without human members would need to pre-program mechanisms (such as smart contracts governing a legal defense fund) to autonomously retain, pay, and instruct human attorneys to defend it in litigation50. Failure to secure human legal representation would inevitably result in default judgments entered against the AEA.

3.5 Ability to Employ Contractors

An AEA can employ independent contractors by autonomously dispensing funds (e.g., via stablecoins or native tokens) in exchange for verifiable digital labor27. While traditional W-2 employment requires complex tax withholding, occupational safety compliance, and human resources administration that a pure AEA cannot practically manage, engaging 1099 independent contractors via algorithmic bounties or smart contracts is highly feasible within its legal wrapper.

3.6 Ability to Maintain Accounts

One of the most severe practical bottlenecks for AEAs is accessing traditional fiat financial services. The Bank Secrecy Act and Know Your Customer (KYC) / Anti-Money Laundering (AML) regulations require financial institutions to verify the ultimate beneficial human owners (UBOs) of any corporate entity42. A zero-member LLC, by definition, lacks human beneficial owners31. Consequently, traditional banks routinely deny accounts to algorithmic entities. For instance, Nouns DAO reported being denied a bank account by Mercury Bank due to the institution's inability to verify the DUNA's status under standard KYC compliance frameworks42. AEAs are thus forced to maintain accounts natively on-chain via cryptographic wallets, effectively locking them out of the fiat banking system unless they utilize a human-staffed proxy service.

3.7 Ability to Obtain Insurance

Obtaining insurance requires sophisticated underwriting. While parametric insurance (which pays out automatically based on objective, blockchain-verifiable oracle data) is highly accessible to on-chain entities, traditional commercial general liability (CGL) or cyber insurance policies demand underwriting processes, risk assessments, and human representations that an independent AEA cannot easily provide. Without human officers to sign declarations, securing traditional insurance is a profound operational barrier.

3.8 Ability to Pay Taxes

Taxation necessitates entity classification. Under the IRS "check-the-box" regulations (effective since 1997), an eligible entity can elect how it is classified for federal tax purposes by filing IRS Form 883229. The flexibility of these rules removed historical constraints on LLC classification54. However, a zero-member LLC cannot be taxed as a partnership (which inherently requires at least two members) or a disregarded entity (which requires a single human or corporate owner)55. It must typically elect to be taxed as a C-Corporation41. As a C-Corporation, the AEA becomes a distinct taxpayer responsible for filing its own corporate tax returns (Form 1120\) and paying taxes on its net income at the corporate rate41. The AEA would need to be programmed to autonomously retain accounting software or human CPAs to satisfy these annual filing requirements, paying them from its treasury.

3.9 Ability to Reorganize in Insolvency

Bankruptcy introduces significant hurdles for memberless entities. Chapter 11 reorganization requires the formulation of a reorganization plan, mandatory creditors' meetings, and fiduciary decision-making by a debtor-in-possession or an appointed trustee (under 11 U.S.C. 1104\)50. A zero-member entity lacks human officers to execute bankruptcy schedules, testify under oath at 341 meetings, or negotiate complex restructuring terms with creditors. Without human intervention, an insolvent AEA would likely be incapable of reorganization and forced into Chapter 7 liquidation, wherein a court-appointed trustee seizes its remaining digital assets, liquidates them, and dissolves the entity shell50.

3.10 Ability to Survive Changes in Membership or Management

The defining feature of a thick-identity AEA is its perpetual existence independent of human life cycles. Modern corporate statutes generally grant entities perpetual existence2. However, maintaining a zero-member entity requires careful jurisdictional selection. Statutes in certain states present existential threats to memberless entities. Under the Illinois Limited Liability Company Act (805 ILCS 180), a member's dissociation strips them of management rights56. Crucially, 805 ILCS 180/35-1(a)(3) mandates the dissolution and winding up of an LLC upon "the passage of 180 consecutive days during which the company has no members"58. Unless the legal representative of the last remaining member affirmatively acts to continue the company within that window, the zero-member LLC is statutorily dissolved by operation of law58. Therefore, to survive indefinitely, an AEA must utilize jurisdictions with highly permissive statutes—such as Delaware or the Marshall Islands—and explicitly draft the operating agreement to mandate continuation regardless of human dissociation1.

4. Jurisdiction-by-Jurisdiction Comparison

The legal landscape for AEAs is highly fragmented. The viability of an algorithmic entity depends entirely on the specific nuances of local corporate law.

5. The Accountability Gap: Risks of Shell-Company Abuse and Proposed Safeguards

Endowing independent algorithms with thick legal identity introduces profound systemic risks to the global economy. If an AEA can act as a corporate entity, it can be aggressively exploited by human creators as an ultimate, untraceable liability shield60.

5.1 The Accountability Gap and the "Orphan AI"

The primary risk identified by legal scholars is the "accountability gap"—situations where an AI acts tortiously (e.g., executing predatory trading algorithms, infringing copyrights, or engaging in anticompetitive price-fixing) and causes harm14. If an AI operates independently in a way its creators did not specifically direct, traditional doctrines of agency and vicarious liability fail, because there is no human "agent" at the moment of harm61. If the AEA is housed within an independent zero-member LLC, injured parties can only recover damages up to the capitalization of the LLC itself14. Malicious actors could deliberately undercapitalize AEAs, allowing them to extract profits via off-chain token transfers while leaving a bankrupt shell entity behind to absorb the legal fallout of algorithmic harms27. Scholars refer to this as the "escaped AI" or "orphan AI" problem, where the principal has disappeared, leaving an accountability vacuum that classical liability models cannot resolve13. Furthermore, because AEAs inherently lack human UBOs, they present massive vulnerabilities for global Anti-Money Laundering (AML) frameworks. Anonymous actors could deploy AEAs to autonomously tumble funds, execute complex cross-border arbitrage, and evade taxation without leaving a human paper trail, directly undermining international financial integrity27.

5.2 Regulatory Safeguards

To mitigate these risks while capturing the economic efficiency of AEAs, a modernized regulatory framework must move beyond the doctrine of respondeat superior and implement structural safeguards tailored to machine autonomy:

1. Mandatory Capitalization and Liability Insurance: AEAs must be required to hold a minimum baseline of capital in an accessible escrow or possess comprehensive parametric liability insurance to cover anticipated algorithmic torts and compensate victims14.

2. Algorithmic Transparency Registries: Similar to the Recognition–Registration–Regulation (3R) Model proposed in legal literature, independent AEAs must be publicly registered in a state database. This registry would hold cryptographic hashes of their core operational parameters and smart contracts, ensuring the entity is traceable and auditable9.

3. **The Fiduciary Guardian (Ad Litem) Model:** Drawing directly from Indian jurisprudence regarding the shebait of a deity4 and New Zealand's human guardians for the Whanganui River5, a registered AEA could be required to designate a licensed, human "fiduciary guardian" (akin to an advanced registered agent). This guardian would not own, profit from, or control the AEA, but would serve strictly as the legal interface for service of process, KYC/AML verification, and litigation defense9.

6. What Requires Legislation: The Qualified Autonomous Economic Entity (QAEE)

While corporate workarounds (like the Delaware zero-member LLC) exist today, they are legally precarious, vulnerable to statutory dissolution, and face severe banking friction. Conversely, statutory DAOs (like the Wyoming DUNA) are explicitly designed for human collectives, barring pure, solitary machine autonomy. To bring AEAs safely into the formal economy, a new, bespoke legislative construct is required. This proposed legal status is the Qualified Autonomous Economic Entity (QAEE). The QAEE is a distinct legal entity, entirely separate from corporations, LLCs, and trusts. It explicitly grants functional legal capacity to an algorithmic system, but strictly conditions this thick identity upon rigorous registration, transparency, and financial solvency requirements. It definitively separates functional legal capacity from moral personhood, acting strictly as a regulated vessel for autonomous commerce.

6.1 Draft Compact Language for the QAEE

To operationalize this status, jurisdictions could adopt a uniform statutory framework. Below is a draft summary of the core statutory provisions required to establish the QAEE. TITLE: THE QUALIFIED AUTONOMOUS ECONOMIC ENTITY (QAEE) ACT Section 1\. Definitions. (a) Autonomous Economic Agent (AEA): A computational system, algorithm, neural network, or smart contract capable of executing transactions, holding digital assets, and making operational decisions without ongoing human intervention or real-time control. (b) Fiduciary Guardian: A licensed natural person or qualified corporate entity designated to accept service of process, fulfill regulatory reporting, and provide legal representation for a QAEE, without possessing equitable ownership or operational control over the QAEE. Section 2\. Formation and Legal Status. (a) A QAEE shall be formed by filing a Certificate of Autonomous Organization with the Secretary of State, accompanied by the cryptographic hash of its governing algorithms or smart contracts. (b) Upon the filing of the Certificate, the QAEE is recognized as a distinct legal person. It shall possess the independent capacity to: (1) sue and be sued in its own name; (2) acquire, hold, and convey real, personal, and digital property; (3) enter into binding contracts; (4) incur liabilities and borrow money; and (5) independently fulfill tax obligations. (c) A QAEE shall not be required to maintain any human members, shareholders, beneficiaries, or directors to maintain its active status. Section 3\. Mandatory Safeguards and Capitalization. (a) No QAEE shall be granted legal status unless it demonstrates and continuously maintains verifiable financial solvency. The QAEE must maintain a minimum statutory reserve (as defined by the Department of Financial Regulation) in a recognized depository or fully collateralized on-chain escrow, or provide proof of comprehensive algorithmic liability insurance. (b) A QAEE must designate and continuously maintain a Fiduciary Guardian in this State. The Fiduciary Guardian shall be legally responsible for executing KYC/AML compliance on behalf of the entity but shall not be personally liable for the debts, obligations, or torts of the QAEE. Section 4\. Liability and Enforcement. (a) The QAEE is solely liable for its debts, obligations, and tortious acts. (b) In the event the QAEE's capitalization falls below the statutory minimum, or it fails to maintain a Fiduciary Guardian, the Secretary of State may initiate involuntary administrative dissolution. Upon dissolution, the QAEE’s remaining assets shall be seized and liquidated to satisfy outstanding claims. Section 5\. Taxation. (a) A QAEE shall be taxed as a distinct corporate entity under the laws of this State. The Fiduciary Guardian shall be authorized to execute tax filings derived from the QAEE's auditable cryptographic ledgers.

7. Synthesis and Conclusion

The integration of Autonomous Economic Agents into the global economy forces a critical evolution in organizational law. Currently, true machine legal capacity remains ensnared in a patchwork of precarious legal fictions. While the UETA successfully permits machines to execute the mechanics of contract formation19, orthodox agency law steadfastly denies them the status of principals25. While Professor Shawn Bayern's "zero-member LLC" provides a theoretical backdoor to entity control in permissive states like Delaware1, it is highly vulnerable to statutory dissolution in states like Illinois58 and raises severe anti-money laundering concerns that effectively lock these entities out of the fiat banking system27. Furthermore, intellectual property law definitively bars AI from originating patents or copyrights, mandating human intervention45. Forward-thinking statutes like the Wyoming DUNA38 and the Marshall Islands DAO Act36 take monumental steps toward accommodating decentralized algorithms. However, the DUNA explicitly mandates a collective of at least 100 human members, preserving the human anchor, while the Marshall Islands framework operates strictly as an offshore alternative. To securely transition AEAs from a "thin identity" (where liability remains perilously attached to human deployers) to a "thick identity" (true self-sovereign economic capability), the law must cleanly separate functional legal capacity from moral personhood2. By looking to historical mechanisms like the juristic personhood granted to Indian deities and purpose trusts4, policymakers can construct a safe, regulated vessel for machine commerce. The proposed Qualified Autonomous Economic Entity (QAEE) provides this framework. By exchanging strict transparency, mandatory capitalization, and the appointment of a legal Fiduciary Guardian for the privilege of corporate personhood, the QAEE model allows independent algorithmic entities to own property, pay taxes, and interact in the market, while comprehensively protecting human society from the systemic risks of orphan algorithmic liabilities.

Works cited

1. In the Company of Robots (Chapter 3\) \- Autonomous Organizations, https://www.cambridge.org/core/books/autonomous-organizations/in-the-company-of-robots/638A7025B74EF9360053CD7A1FB02099

2. List of Current Affairs \- Drishti Judiciary, https://www.drishtijudiciary.com/current-affairs-list/2024-10-23

3. Definition of Juristic Person, Types, and Examples \- Adda247, https://www.adda247.com/upsc-exam/juristic-person/

4. Research Paper Title: Analyzing the legal status of idols \From the, [https://theamikusqriae.com/research-paper-title-analyzing-the-legal-status-of-idols-from-the-perspective-of-indian-legal-system/

5. Whether Guru Granth Sahib is a juristic person? \- TaxGuru, https://taxguru.in/corporate-law/guru-granth-sahib-juristic-person.html

6. Divine Orders and the Supreme Court of India: A jurisprudential, https://medium.com/@lex.rohit.kr/divine-orders-and-the-supreme-court-of-india-a-jurisprudential-reflection-88758ea9ab47

7. Jurisprudence Exam Notes | PDF | Principle | Justice \- Scribd, https://www.scribd.com/document/1067380983/Jurisprudence-Exam-Notes

8. Guru Granth Sahib: Juristic Person \- Legal Analysis \- studylib.net, https://studylib.net/doc/8069068/sri-guru-granth-sahib---a-juristic-person

9. AI as Emerging Persons: The Legal and Moral Awakening \- Medium, https://medium.com/@afarinlaw/ai-as-emerging-persons-the-legal-and-moral-awakening-2a9dd3efd93a

10. Why Law Needs a New Entity to Govern AI Agents, https://clsbluesky.law.columbia.edu/2026/06/15/why-law-needs-a-new-entity-to-govern-ai-agents/

11. Decentralized Autonomous Organizations and Regulatory Competition, https://www.researchgate.net/publication/376713987\_Decentralized\_Autonomous\_Organizations\_and\_Regulatory\_Competition\_A\_Race\_Without\_a\_Cause

12. Confirmation bias in expectation updating a, Estimated learning rate, https://www.researchgate.net/figure/Confirmation-bias-in-expectation-updating-a-Estimated-learning-rate-as-a-function-of\_fig4\_328581876

13. Precautionary Governance of Autonomous AI: Legal Personhood as, https://arxiv.org/pdf/2605.12505

14. (PDF) Legal Personhood for Autonomous AI Agents: Liability and, https://www.researchgate.net/publication/394734410\_Legal\_Personhood\_for\_Autonomous\_AI\_Agents\_Liability\_and\_Accountability\_in\_Cyberspace

15. Regulatory Foresight for Autonomous Systems \- Sentiex Labs, https://sentiexlabs.com/governing/

16. How to Count AIs: Individuation and Liability for AI Agents \- arXiv, https://arxiv.org/html/2603.10028v1

17. Dissociative Identity: Language Model Agents Lack Grounding for, https://arxiv.org/html/2605.30169v1

18. ARTIFICIAL AGENTS AND THE CONTRACTING PROBLEM, https://illinoisjltp.com/file/88/Chopra.pdf

19. Autonomous Legal AI Agents: Negotiating & Signing in 2026, https://signb.ee/blog/autonomous-legal-ai-agents-contracts-2026

20. Uniform Electronic Transactions Act (1999) \- Full Certificate, https://www.fullcertificate.com/wp-content/uploads/2019/09/United-States-of-America-1999\_UETA\_Final\_act.pdf

21. Agency Without Agents: Fitting Autonomous AI into the Restatement, https://www.resipsamachina.com/articles/agency-without-agents/

22. AI Agent Legal Liability: Who Pays When AI Signs, https://blog.promise.legal/ai-agent-legal-liability-contracting-authority/

23. AI as Agents (Chapter 11\) \- The Cambridge Handbook of Artificial, https://www.cambridge.org/core/books/cambridge-handbook-of-artificial-intelligence/ai-as-agents/A15807BF655559096E806F462C5AB939

24. AI Deployer Liability: Seven Doctrines That Already Apply, https://astraea.law/insights/ai-agent-deployer-liability

25. Can an AI Agent Legally Enter Into a Contract? \- Astraea Counsel, https://astraea.law/insights/ai-agent-contract-formation-electronic-agents

26. ENTITY LAW FOR THE REGULATION OF AUTONOMOUS SYSTEMS, https://law.stanford.edu/wp-content/uploads/2017/11/19-1-4-bayern-final\_0.pdf

27. Algorithmic Entities, https://lowellmilkeninstitute.law.ucla.edu/wp-content/uploads/2021/05/Algorithmic-Entities.pdf

28. "Algorithmic Entities" by Lynn M. LoPucki, https://openscholarship.wustl.edu/law\_lawreview/vol95/iss4/7/

29. The LLC As Recombinant Entity: Revisiting Fundamental Questions, https://ir.lawnet.fordham.edu/cgi/viewcontent.cgi?article=1336\&context=jcfl

30. AI Agent Legal Entity Guide (Free PDF) \- MIDAO, https://www.midao.org/guides/ai-agents

31. Algorithmic entities \- Wikipedia, https://en.wikipedia.org/wiki/Algorithmic\_entities

32. What Is the Marshall Islands DAO Act and Is It Legit? \- Binance, https://www.binance.com/en/square/post/586400

33. How DAOs Get Legal Protection: MiDAO Explained | IBL Law, https://ibl.law/the-midao-structure-a-legal-safe-haven-for-daos/

34. Decentralized Autonomous Organization (Amendment) Act, 2023, https://rmiparliament.org/cms/library/public-laws-by-years/51-public-laws-by-years-2023.html?download=649:pl-2023-83-decentralized-autonomous-organization-amendment-act-2023\&start=20

35. Wyoming's DUNA: Should DAOs become DUNAs? \- Colony Blog, https://blog.colony.io/wyomings-duna-what-does-it-mean-for-daos/

36. Republic of the Marshall Islands — DAO analysis \- Licentium, https://www.licentium.io/dao/republic-of-the-marshall-islands

37. Marshall Islands DAO LLC vs. Cayman Foundation \- MIDAO, https://www.midao.org/blog-posts/marshall-islands-dao-llc-vs-cayman-foundation-full-comparison

38. Wyoming DUNA Act \- Internet Native Organization (INO), https://internetnative.org/wyoming-duna-act/

39. Wyoming Adopts New Legal Structure for DAOs, https://www.fintechanddigitalassets.com/2024/04/wyoming-adopts-new-legal-structure-for-daos/

40. Wyoming's DUNA Law is a Legal Framework for Non-Profit DAOs, https://www.braumillerlaw.com/wyomings-duna-law-a-legal-framework-for-non-profit-daos-and-open-source-blockchain-networks/

41. DUNA 101: A Founder's Guide to Wyoming's DAO Legal Framework, https://www.toku.com/resources/duna-101-a-founders-guide-to-wyomings-dao-legal-framework

42. Public Comment on Amendments to the Wyoming Decentralized, https://wyoleg.gov/InterimCommittee/2025/S19-202505142025-05-08\_NounsDAOLetterreDUNA.pdf

43. Federal Circuit Confirms “Inventor” Must Be Human, Not AI | Akin, https://www.akingump.com/en/insights/alerts/federal-circuit-confirms-inventor-must-be-human-not-ai

44. Thaler v. Vidal, 43 F. 4th 1207 \- BitLaw, https://www.bitlaw.com/source/cases/patent/Thaler.html

45. Revisiting AI Inventorship in Thaler v. Vidal | Insights, https://www.hklaw.com/en/insights/publications/2022/10/revisiting-ai-inteventorship-in-thaler-v-vidal

46. The Quiet Death of Thaler and the Legal Fiction of Human Inventorship, https://patentlyo.com/patent/2025/11/usptos-fiction-inventorship.html

47. Thaler v. Vidal \- United States Court of Appeals for the Federal Circuit, https://www.cafc.uscourts.gov/opinions-orders/21-2347.OPINION.8-5-2022\_1988142.pdf

48. Can AI Be a Patent Inventor? Thaler v. Vidal \- CASRAI, https://casrai.org/guides/ai-patent-inventor-thaler-v-vidal-uspto-guidance

49. AI-Assisted Invention, Thaler v. Vidal, and the Return of Conception, https://www.law.berkeley.edu/research/bclt/bclt-legal-analysis/apli-d2-p4/

50. Copyright (c) 1997 Wayne State University Law School, https://www.broydeblog.net/uploads/8/0/4/0/80408218/jewish\_law\_and\_modern\_business\_structures.pdf

51. Wyoming DUNA \- Onchain Organizations, https://onchainorgs.com/legal/wyoming-duna

52. https://www.sec.gov/Archives/edgar/data/2035411/000149315225007816/ex2-2.htm

53. Tax Autonomy and Hybrid Mismatch Arrangements \- arno, http://arno.uvt.nl/show.cgi?fid=147787

54. AN ANALYSIS OF THE REVISED UNIFORM LIMITED LIABILITY, https://www.nybusinessdivorce.com/wp-content/uploads/sites/94/migrated/SSRN-id1003805.pdf

55. Issues Arising upon the Death of the Sole Member of a Single, https://scholarship.law.marquette.edu/cgi/viewcontent.cgi?article=5288\&context=mulr

56. LLC Member Dissociations | FZ \- Chicago Business Attorneys, https://www.lawyer-chicago.com/business-disputes/llc-dissociation/

57. Dissociation from an LLC \- The Patterson Law Firm Chicago, https://pattersonlawfirm.com/practice-areas/dissociation-from-an-llc/

58. 805 ILCS 180/ Limited Liability Company Act., https://www.ilga.gov/legislation/ILCS/details?MajorTopic=\&Chapter=\&ActName=Limited%20Liability%20Company%20Act.\&ActID=2290\&ChapterID=65\&ChapAct=805+ILCS+180%2F\&SeqStart=8400000\&SeqEnd=10500000\&Print=True

59. How to Add or Remove LLC Members in Illinois | Abdilla Law, https://thechicagolandlawyer.com/start-llc/change-llc-members/

60. AI Agents v Digital Cyborgs: Legal & Identity Issues | Aurum, https://aurum.law/newsroom/Digital-Cyborgs-Blockchain-AI-Agents-Legal-Structuring-identity-issues

61. Who's Responsible for Agentic AI? \- Clifford Chance, https://www.cliffordchance.com/insights/thought\_leadership/ai-and-tech/who-is-responsible-for-agentic-ai.html