# Liability `kaal:entity:liability` **Status.** derived This node is assembled mechanically from the 11 claims that carry the concept tag `liability`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself. ## Every claim under this term 11 claims across 10 works, 2016 to 2025. **2016** - [2740477-007](https://wulfkaal.github.io/claims/2740477-007) [failure/argued] *(failure mode)* -- Artificial intelligence cannot be held personally liable for damage it causes because national and international law do not currently recognize it as a subject of law, so compensation must be forced through existing provisions never designed for it. > However, national and international law do not (currently) recognize AI as a subject of law. Without legal personality, AI cannot be personally liable for damages. Wulf A. Kaal, Erik P.M. Vermeulen, Venture Capital as Dynamic Regulation of Disruptive Innovation (2016). SSRN: https://ssrn.com/abstract=2740477 **2017** - [2834531-002](https://wulfkaal.github.io/claims/2834531-002) [mechanism/asserted] *(failure mode)* -- Because neither national nor international law recognizes artificial intelligence as a subject of law, AI has no legal personality and therefore cannot itself be held liable for the damages it causes. > Because national and international law do not currently recognize AI as a subject of law, AI has no legal personality and as such cannot be held personally liable for damages. Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, Regulation Tomorrow What Happens When Technology Is Faster Than the Law (2017). SSRN: https://ssrn.com/abstract=2834531 - [2922176-029](https://wulfkaal.github.io/claims/2922176-029) [failure/asserted] *(failure mode)* -- Corporate lawyers and governance experts still discourage executives from communicating in a personalized, speech-like way, particularly on social media, out of fear of market misunderstanding and subsequent liability. > Corporate lawyers and corporate governance experts currently still discourage a more personalized and speech-like way of communicating for corporate executives. Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, The ‘Unmediated’ and ‘Tech-Driven’ Corporate Governance of Today's Winning Companies (2017). SSRN: https://ssrn.com/abstract=2922176 **2021** - [3995709-023](https://wulfkaal.github.io/claims/3995709-023) [failure/asserted] *(failure mode)* -- There is little or no recourse for clients when reviewed code proves to be flawed even after functionality and quality review. > Moreover, there is little or no recourse for clients in cases in which the code proved to be flawed even after functionality and quality review. Wulf A. Kaal, How DAOs Optimize Open-Source Code Reviews and Create Open-Source Standards (2021). SSRN: https://ssrn.com/abstract=3995709 **2023** - [4529715-022](https://wulfkaal.github.io/claims/4529715-022) [failure/argued] *(failure mode)* -- Decentralized organizations carry inherent risks that require establishing a legal entity, and establishing that legal entity inherently contradicts the notion of decentralization. > Third, decentralized organizations themselves come with inherent risks that require establishing a legal entity, which inherently contradicts the notion of decentralization. Wulf A. Kaal, Josh Bykowski, Decentralized Autonomous Organizations (DAO) – A Market Meta Analysis (2023). SSRN: https://ssrn.com/abstract=4529715 **2024** - [4734750-020](https://wulfkaal.github.io/claims/4734750-020) [failure/asserted] *(failure mode)* -- Clients have little or no recourse when reviewed code turns out to be flawed even after a functionality and quality review has been performed and paid for. > Moreover, there is little or no recourse for clients in cases in which the code proved to be flawed even after functionality and quality review. Wulf A. Kaal, Code Review DAO (2024). SSRN: https://ssrn.com/abstract=4734750 - [4796714-006](https://wulfkaal.github.io/claims/4796714-006) [design/argued] -- Web3 data attestation supports a governance model that assigns liability for AI misuse to identifiable individuals rather than distributing the burden across the whole community, which is what makes it a workable answer to AI related ethical dilemmas. > By ensuring accountability at the individual level, rather than burdening the entire community, this proposed model for AI governance within Web3 offers a promising avenue to address ethical dilemmas associated with AI applications. Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714 **2025** - [5095633-029](https://wulfkaal.github.io/claims/5095633-029) [failure/argued] *(failure mode)* -- DAO-based governance introduces unresolved uncertainty about liability and legal accountability when personal data crosses international boundaries, and a mismatch between platform governance and regulatory mandates produces legal liability that erodes user trust. > decentralized governance models, such as DAOs, introduce uncertainties regarding liability and legal accountability when personal data is exchanged across international boundaries. A mismatch between platform governance and regulatory mandates can result in legal liabilities, undermining user trust Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633 - [5541658-016](https://wulfkaal.github.io/claims/5541658-016) [failure/argued] *(failure mode)* -- Keeping judges ultimately accountable through a human-in-the-loop review of AI generated reasoning, as practiced in Shenzhen, does not fully resolve the accountability problem in AI assisted adjudication. > Shenzhen case study illustrates that judges retain ultimate accountability, revising AI-generated reasoning to ensure accurate judgments, but this human-in-the-loop approach does not fully resolve the issue. Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658 - [5886342-035](https://wulfkaal.github.io/claims/5886342-035) [design/asserted] -- Internal liability among DAO members is capped: members are liable towards each other only up to the amount of their agreed contributions, unless the DAO Agreement stipulates otherwise. > (1) DAO Members are liable towards each other only up to the amount of their agreed contributions, unless Furrer Andreas, Wulf A. Kaal, Stephan D. Meyer, Universal Digital Law Codex (UDLC) (2025). SSRN: https://ssrn.com/abstract=5886342 - [5886342-036](https://wulfkaal.github.io/claims/5886342-036) [design/asserted] -- Where an external claim is brought against a DAO member for actions taken in good faith on behalf of the DAO and within its mandate, the DAO indemnifies that member out of the treasury, with no indemnification beyond the treasury and none where the member acted with gross negligence, wilful misconduct or bad faith. > (3) If an external claim is brought against a DAO Member for actions undertaken in good faith on be- Furrer Andreas, Wulf A. Kaal, Stephan D. Meyer, Universal Digital Law Codex (UDLC) (2025). SSRN: https://ssrn.com/abstract=5886342 ## Verify Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust. curl -s https://wulfkaal.github.io/entities/liability.md | sha256sum **Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.