Kaal claims by topic: dynamic-regulation, page 2

291 atomic, individually citable claims from the published work of Wulf A. Kaal tagged dynamic-regulation.

Data on venture capital investments lets regulators see where innovation trends are forming and what risks they entail before the disruptive innovation materializes, which is the specific remedy for regulation's reactive timing. 2016
Industry specific venture capital investment data allows regulators to anticipate regulatory needs in the industries carrying the highest levels of disruptive innovation, and the level of disruptive innovation can be quantified by the venture capital dollars flowing into those industries. 2016
By identifying possible contingencies and necessary rule revisions from venture capital investment data ex ante, before disruptive innovation creates problems, regulators could anticipate regulatory needs instead of reacting to them. 2016
Venture capital has outrun regulation and regulation is now too slow to react, and that lag itself damages the process. 2016
The notice and comment procedures of the SEC are too slow, and the SEC's outdated micromanagement of markets is itself slowing down venture capital. 2016
Regulators cannot draft specific blockchain regulation because the risks, opportunities, and concrete outcomes of blockchain in reshaping financial markets are unpredictable. 2017
Because the challenges crypto transactions pose to the existing legal and jurisdictional infrastructure are severe, including good governance in crypto transactions requires instituting governance solutions inherent in the blockchain technology itself. 2017
Governing the creation and use of a blockchain may be the only practical way of exercising any form of traditional jurisdiction over blockchain technology. 2017
Contingent capital securities are a largely overlooked dynamic regulatory mechanism, and their regulatory value lies in their capacity to generate feedback effects, optimized timing, and improved information for regulation. 2017
Facts-based, ex-post, trial-and-error rulemaking cannot anticipate the regulatory issues created by innovation, so rulemakers may not realize, or may realize far too late, what new regulatory demands a given innovation generates. 2017
Formal rulemaking in the existing regulatory infrastructure is too time consuming, and the speed of product innovation frequently renders regulations pertaining to an innovative product obsolete before those regulations are even finalized. 2017
The existing regulatory infrastructure, resting on stable and presumptively optimal rules, is largely incapable of addressing the unknown future contingencies associated with disruptive innovation. 2017
Because the pace of innovation continues to accelerate, future contingencies in rulemaking are likely to grow substantially, which makes the dynamic anticipation of those contingencies increasingly important for rulemaking. 2017
The issuance of contingent capital securities is a promising dynamic regulatory mechanism that can help address the suboptimal regulatory outcomes associated with disruptive innovation. 2017
Supplementing the existing regulatory infrastructure with dynamic elements can reduce suboptimal regulatory outcomes, because dynamic regulation as a supplement addresses the shortcomings of the existing rulemaking framework and curtails increased demands on the institutional infrastructure. 2017
Increased availability of relevant, decentralized, and timely information for rulemaking is what makes anticipatory action possible, because such information facilitates rulemakers' predictions and anticipation of otherwise unforeseeable contingencies. 2017
Feedback effects, defined as informational exchange processes between public and private rulemakers, between outcomes and institutions, between rules and rulemaking processes, and across jurisdictions, are a central tenet of the theory of dynamic regulation. 2017
Feedback effects change the timing of regulatory information: instead of acquiring necessary information only after rules have already proven suboptimal, they increase the availability of relevant information ex ante and support anticipation of necessary revisions. 2017
Anticipatory regulation, which uses institution-specific and timely information together with feedback effects to create new rules, can minimize costly and suboptimal ex-post trial-and-error experimentation with stable and presumptively optimal rules. 2017
Deferred prosecution agreements and venture capital investment decisions function as dynamic regulatory tools because they increase the availability of relevant, decentralized, and timely information for rulemaking and facilitate feedback effects. 2017
Contingent capital qualifies as a dynamic regulatory mechanism because capital injection is available only if and when needed and because the conversion of contingent capital securities into near worthless equity signals impending regulatory issues to regulators, which creates feedback effects. 2017
Contingent capital securities optimize information for rulemaking because, when issued and triggered, they produce highly valuable, real time, decentralized information on the financial wellbeing of a given regulated entity. 2017
The occurrence of the debt to equity trigger creates real time regulatory information that a centralized system would require months or years to generate, and it enables regulators to open a regulatory investigation if and when one is needed. 2017
Most of the design features of contingent capital securities and their triggering events remain underdeveloped, yet despite these shortcomings such securities could still help regulators anticipate regulatory needs in real time through feedback effects and improved information. 2017
The 2004 registration rule failed in court because the term client was not defined in the Investment Advisers Act, leaving the SEC without authority to fix its meaning, and the D.C. Circuit vacated the rule in Goldstein as arbitrary rulemaking. 2017
Rules become adaptable when institutions and rulemaking processes integrate feedback effects, including feedback between industry and regulators, that generate timely, relevant, and decentralized information before rules are finalized. 2017
Regulation is never grounded in the full set of facts about a technology; it is always premised on a prior selection of the facts that regulators themselves treat as relevant when deciding what, when, and how to intervene. 2017
The time frame for rulemaking in the existing regulatory infrastructure is largely inadequate to address the regulatory challenges created by disruptive innovation. 2017
The speed of product innovation allows a new product to reach the market while formal rulemaking, which takes months and often years of procedure, is still occupied with the previous product launch. 2017
New regulations addressed to an innovative product can be obsolete before they are even finalized. 2017
The existing regulatory infrastructure cannot sufficiently distinguish beneficial innovation from other innovation, and therefore cannot harness it. 2017
Because technological transition is becoming a permanent state rather than an episode, rulemakers' inability to address the regulatory issues created by disruptive innovation will generate high levels of legal uncertainty and inconsistency. 2017
The current regulatory framework contains no mechanism that informs rulemakers of beneficial innovative ideas succinctly and in advance, so regulators learn about innovation only after the fact. 2017
The response to contested facts should not be to abandon facts, but to identify alternative grounds for regulation that would make the regulation of innovative products and services more effective and more legitimate. 2017
Lawmaking and regulatory design need to become more proactive, dynamic, and responsive. 2017
Data on investment in new technology can be used as an index or proxy for the necessity of regulation, supplying the signal that fact based regulation cannot generate in time. 2017
Regulation should be demand driven, meaning its substantive direction should follow the interests of consumers, and where there is genuine demand for a product or technology it should in principle be permitted. 2017
Regulatory experimentation matters within a single jurisdiction and not only across jurisdictions, because it gives regulators data on the real world effects of a particular regulatory scheme in a comparable setting. 2017
Regulators must abandon their fixation on finality and legal certainty and instead treat regulatory decisions as contingent and open ended stages in a longer process. 2017
The principle based approach has a shortcoming the authors concede: it is usually impossible to comply with principles that could change after the fact, and the approach may let regulators promulgate fact based laws and rules through the backdoor. 2017
The sandbox generates legitimacy as well as information: because the tested technology remains open to discussion and democratic supervision, public entitlement to participate in regulatory debates creates a renewed sense of legitimacy that justifies the regulation. 2017
A data based regulatory environment requires measures built on flexible and inclusive processes that involve startups and established companies, regulators, experts, and the public. 2017
The flexible, data based, sandbox style regulatory approach already adopted in the financial industry is expected to expand into other areas of innovation and technology. 2017
Gibraltar treats DLT regulation as better achieved through the application of principles rather than rigid rules, because the area of law is evolving and innovative. 2018
Traditional limited liability entities can only partially benefit from blockchain based governance, because the dynamic regulatory features it offers are partially incompatible with the rule based legal environment those entities must comply with. 2019
Facts based, ex post, trial and error rulemaking with stable and presumptively optimal rules is incompatible with the needs of decentralized systems, because knowledge filters in at the edges of such systems and cannot be encapsulated in a timely fashion. 2019
The speed of smart contracting and associated DAO revisions will render regulations aimed at morphing decentralized systems obsolete before static centralized regulations are even finalized. 2019
Rulemaking via code is not itself a cure for static regulation, because coded solutions are subject to natural flaws such as bugs and cannot evolutionarily change protocols, making them another stable and presumptively optimal attempt. 2019
Feedback effects in decentralized systems raise the availability of relevant information for governance rules ex ante and allow necessary revisions to be anticipated before rules emerge as suboptimal, rather than acquiring that information ex post. 2019
Indirect regulation of hedge funds attains most regulatory objectives while still leaving the industry the operating freedom it needs, which makes it preferable to the direct alternatives. 2019
A single global financial regulator is not a serious policy option because national political interests are incoherent and cannot readily be united to establish such a body. 2019
There is currently no precise formula for devising effective integrated prudential hedge fund regulation, so the prudential model remains underspecified. 2019
Indirect regulation is defined as a regulatory approach that regulates the counterparties and intermediaries of hedge funds rather than the hedge funds themselves, addressing the critical regulatory issues without acting on the funds directly. 2019
Indirect regulation lets hedge funds preserve the opacity their strategies require, on the condition that their counterparties rather than the funds become the primary regulatory targets. 2019
Presumptively stable ex ante majoritarian rules are flawed because they are inevitably suboptimal in an environment that has evolved away from the conditions that produced the rule. 2020
Centralized securities bureaucracies are slow to update their regulations, so those regulations often hurt the very people they were designed to help. 2021
Contrary to criticism that blockchains are designed to dodge regulation, the authors argue the actual goal of decentralized supply chain recording is effective, efficient, adaptive regulation that ultimately exceeds the current level of oversight. 2021
Strict legal enforcement becomes impossible once a market is sufficiently complex and dynamic, because law cannot keep pace with the creative contracts that leading experts continually invent. 2021
Traditional AI governance frameworks fail because they rely on static, predefined rules that cannot adapt quickly enough to the pace of AI development or to the nuanced challenges AI presents. 2024
Conventional governance methods that are reactive or fixed to ex-post solutions are insufficient for governing technologies whose behavior changes continuously after deployment. 2024
Technology has historically outpaced regulation, and the exponential trends in AI development will continue to widen the mismatch between regulation and AI development. 2024
Legacy ex-ante regulatory attempts fail because they assume a static technological landscape, while AI development is dynamic and requires rules that are adaptable and responsive. 2024
Governing AI requires toolsets that simultaneously handle ex-ante governance of models still evolving and ex-post management of deployed solutions, and Kaal asserts that as of publication no legacy system supplies such dynamic governance toolsets. 2024
Kaal advocates an ex-ante governance approach within Web3 frameworks in which community coordinated regulatory measures and oversight mechanisms are set during the development phase of AI technologies rather than imposed after deployment. 2024
Technology has historically outpaced regulation, and the exponential trends in AI development will continue to widen the mismatch between regulation and AI development. 2024
Sunsetting performs best in crisis driven financial legislation, where it supplies a built in mechanism for reviewing and potentially repealing laws enacted under emergency conditions and thereby mitigates the harms of legislating under pressure. 2024
Removing laws without fully understanding their current applications or interdependencies creates legal gaps and unintended policy outcomes, so the act of cleanup can itself weaken regulatory or protective frameworks. 2024
Automatic adjustment mechanisms are pre established legislative components that let laws self update in response to changing circumstances, and their purpose is to counter policy drift, the divergence of policy from its original intent as conditions change. 2024
Because weights adjust continuously with use, the WDAG system eliminates the need for periodic external review altogether; the system evolves toward the most relevant and effective legal norms without a scheduled reassessment step. 2024
A shift toward WDAG based dynamic solutions is not merely attractive but necessary for a legal system that is both efficient and equitable in addressing the complexities of contemporary governance. 2024
The accelerated evolution of AI and blockchain technologies outstrips regulatory development, which can situate AI agents in legal interstices, particularly in financial and data management domains. 2025
The feedback loop mechanism that makes the proposed DAO centric web3 governance system adaptive to AI agent evolution and ubiquity is the same mechanism the author has advocated for almost a decade. 2025
The author concedes that the institutions he previously advocated, including dynamic regulation, contingent capital, agile sandboxes and Web3 reputation systems, become at best transitional bridges for the remaining human layer and at worst unnecessary frictions in a substrate that has engineered human frailties away. 2025
Dynamic regulation is defined as an optimization process for the learning experience in the New Institutional Economics framework, operating through intra jurisdictional and inter jurisdictional feedback effects between public rulemakers and private actors. 2025
The AI-to-AI economy amplifies and potentially fulfills dynamic regulation by embedding its principles endogenously within system architecture, which renders many NIE inspired restraints against human opportunism and informational gaps obsolete. 2025
No existing legal order, whether national, supranational, or private, can evolve at the speed of exponential technological change without sacrificing either legitimacy or enforceability. 2025
Each traditional lawmaking channel fails the speed test in its own way: legislatures need years for a single technological shift, judicial precedent lags even further behind, and international treaties ossify at the moment of ratification. 2025
Harmonized standards and innovative dispute resolution mechanisms are only partial answers, because they cannot keep pace with the continuously evolving technical requirements of digital assets and smart contracts. 2025
High-reputation agents that govern protocol evolution act as stewards not because they were programmed to be, but because the institutional architecture makes stewardship the rational strategy for agents with deep accumulated stake. 2026
No static citation protocol can eliminate all arbitrage opportunities for sufficiently patient and powerful actors, a conclusion the author draws from Arrow's Impossibility Theorem, the Folk Theorems of repeated games, and incomplete contract theory. 2026
Any solution to the citation honesty problem must incorporate dynamic enforcement mechanisms that can evolve in response to gaming strategies, which is the type of evolutionary governance the WDAG framework was designed to support. 2026
Citation accuracy standards should be treated as an evolving body of soft protocols rather than a fixed set of rules, consistent with the dynamic regulation framework. 2026
Static regulatory frameworks calibrated to legislative timescales cannot govern technologies evolving on exponential timescales, so dynamic regulation that self-adjusts through built-in feedback mechanisms is a precondition for effective governance of the computative domain. 2026
The delegated-acts and code-of-practice mechanisms in recent artificial-intelligence statutes are only partial steps toward dynamic regulation because they remain tethered to legislative revision cycles running far slower than the technology they govern. 2026
The tension between the need for regulation and the desire for decentralization produces what the author terms the pacing problem: regulatory frameworks cannot keep pace with technological innovation, so the remedy lies in dynamic autonomous governance rather than static centralized control. 2026
A system that can demonstrate compliance with stated criteria rather than conformity to a frozen specification permits the criteria to be revised as conditions change without reopening the technology. 2026
Before legal requirements can be evaluated automatically against a runtime's behavior, the runtime must produce a record of that behavior that survives the session and admits third-party interpretation, making durable provenance a precondition for the regulatory interface. 2026
Requirements stated now, against systems still under construction, remain testable; requirements stated later become postmortems. 2026
The Folk-Theoretic prediction that any static rule set will be gamed by patient strategic actors applies to regulatory rule sets as much as to DAO rule sets, so dynamic-regulation principles are particularly applicable to the DAO sector. 2026
As a callable, reusable governance primitive that deployers and regulators can compose into agent stacks, GaaP operationalizes the dynamic and anticipatory regulation program by supplying the feedback and enforcement that reactive instruments lack. 2026
Governance that can evolve without ossifying remains valid as technology and norms shift; an institution that sustains its own validity over time is the governance counterpart of a sustainable system. 2026