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Transparency's Ai Problem, Hannah Bloch-Wehba
Transparency's Ai Problem, Hannah Bloch-Wehba
Faculty Scholarship
A consensus seems to be emerging that algorithmic governance is too opaque and ought to be made more accountable and transparent. But algorithmic governance underscores the limited capacity of transparency law—the Freedom of Information Act and its state equivalents—to promote accountability. Drawing on the critical literature on “open government,” this Essay shows that algorithmic governance reflects and amplifies systemic weaknesses in the transparency regime, including privatization, secrecy, private sector cooptation, and reactive disclosure. These deficiencies highlight the urgent need to reorient transparency and accountability law toward meaningful public engagement in ongoing oversight. This shift requires rethinking FOIA’s core commitment to …
Beyond Algorithms: Toward A Normative Theory Of Automated Regulation, Felix Mormann
Beyond Algorithms: Toward A Normative Theory Of Automated Regulation, Felix Mormann
Faculty Scholarship
The proliferation of artificial intelligence in our daily lives has spawned a burgeoning literature on the dawn of dehumanized, algorithmic governance. Remarkably, the scholarly discourse overwhelmingly fails to acknowledge that automated, non-human governance has long been a reality. For more than a century, policymakers have relied on regulations that automatically adjust to changing circumstances, without the need for human intervention. This article surveys the track record of self-adjusting governance mechanisms to propose a normative theory of automated regulation.
Effective policymaking frequently requires anticipation of future developments, from technology innovation to geopolitical change. Self-adjusting regulation offers an insurance policy against the …
Artificial Intelligence Inventions & Patent Disclosure, Tabrez Y. Ebrahim
Artificial Intelligence Inventions & Patent Disclosure, Tabrez Y. Ebrahim
Faculty Scholarship
Artificial intelligence (“AI”) has attracted significant attention and has imposed challenges for society. Yet surprisingly, scholars have paid little attention to the impediments AI imposes on patent law’s disclosure function from the lenses of theory and policy. Patents are conditioned on inventors describing their inventions, but the inner workings and the use of AI in the inventive process are not properly understood or are largely unknown. The lack of transparency of the parameters of the AI inventive process or the use of AI makes it difficult to enable a future use of AI to achieve the same end state. While …
Google And Search-Engine Market Power, Mark R. Patterson
Google And Search-Engine Market Power, Mark R. Patterson
Faculty Scholarship
A significant and growing body of commentary considers whether possible manipulation of search results by Google could give rise to antitrust liability. Surprisingly, though, little serious attention has been paid to whether Google has market power. Those who favor antitrust scrutiny of Google generally cite its large market share, from which they infer or assume its dominance. Those who are skeptical of competition law’s role in regulating search, on the other hand, usually cite Google’s 'competition is only a click away' mantra to suggest that Google’s market position is precarious. In fact, the issue of Google’s power is more complicated …