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Artificial Intelligence And Contract Formation: Back To Contract As Bargain?, John Linarelli Jan 2023

Artificial Intelligence And Contract Formation: Back To Contract As Bargain?, John Linarelli

Book Chapters

Some say AI is advancing quickly. ChatGPT, Bard, Bing’s AI, LaMDA, and other recent advances are remarkable, but they are talkers not doers. Advances toward some kind of robust agency for AI is, however, coming. Humans and their law must prepare for it. This chapter addresses this preparation from the standpoint of contract law and contract practices. An AI agent that can participate as a contracting agent, in a philosophical or psychological sense, with humans in the formation of a con-tract will have to have the following properties: (1) AI will need the cognitive functions to act with intention and …


Distributed Governance Of Medical Ai, W. Nicholson Price Ii Mar 2022

Distributed Governance Of Medical Ai, W. Nicholson Price Ii

Law & Economics Working Papers

Artificial intelligence (AI) promises to bring substantial benefits to medicine. In addition to pushing the frontiers of what is humanly possible, like predicting kidney failure or sepsis before any human can notice, it can democratize expertise beyond the circle of highly specialized practitioners, like letting generalists diagnose diabetic degeneration of the retina. But AI doesn’t always work, and it doesn’t always work for everyone, and it doesn’t always work in every context. AI is likely to behave differently in well-resourced hospitals where it is developed than in poorly resourced frontline health environments where it might well make the biggest difference …


The Use Of Information Technology In The Activities Of Law Enforcement Agencies: A Comparative Legal Analysis, Islamov Muzaffar Rasulovich Feb 2022

The Use Of Information Technology In The Activities Of Law Enforcement Agencies: A Comparative Legal Analysis, Islamov Muzaffar Rasulovich

ProAcademy

The article considers the use of information technologies in the activities of law enforcement agencies: a comparative legal analysis with such countries as Germany, the USA, Korea, the Russian Federation. The global development of world civilization at the present stage of development of all areas and directions of human activity is determined, first of all, by the effectiveness of its information support. The economic, financial and political life of states, their prosperity and security largely depend on this. The activities of law enforcement agencies are associated with the processing of large volumes of various information, which, in modern conditions, requires …


Liability For Use Of Artificial Intelligence In Medicine, W. Nicholson Price, Sara Gerke, I. Glenn Cohen Jan 2022

Liability For Use Of Artificial Intelligence In Medicine, W. Nicholson Price, Sara Gerke, I. Glenn Cohen

Law & Economics Working Papers

While artificial intelligence has substantial potential to improve medical practice, errors will certainly occur, sometimes resulting in injury. Who will be liable? Questions of liability for AI-related injury raise not only immediate concerns for potentially liable parties, but also broader systemic questions about how AI will be developed and adopted. The landscape of liability is complex, involving health-care providers and institutions and the developers of AI systems. In this chapter, we consider these three principal loci of liability: individual health-care providers, focused on physicians; institutions, focused on hospitals; and developers.


Antitrust By Algorithm, Cary Coglianese, Alicia Lai Jan 2022

Antitrust By Algorithm, Cary Coglianese, Alicia Lai

All Faculty Scholarship

Technological innovation is changing private markets around the world. New advances in digital technology have created new opportunities for subtle and evasive forms of anticompetitive behavior by private firms. But some of these same technological advances could also help antitrust regulators improve their performance in detecting and responding to unlawful private conduct. We foresee that the growing digital complexity of the marketplace will necessitate that antitrust authorities increasingly rely on machine-learning algorithms to oversee market behavior. In making this transition, authorities will need to meet several key institutional challenges—building organizational capacity, avoiding legal pitfalls, and establishing public trust—to ensure successful …


Problematic Interactions Between Ai And Health Privacy, W. Nicholson Price Ii Mar 2021

Problematic Interactions Between Ai And Health Privacy, W. Nicholson Price Ii

Law & Economics Working Papers

The interaction of artificial intelligence (“AI”) and health privacy is a two-way street. Both directions are problematic. This Article makes two main points. First, the advent of artificial intelligence weakens the legal protections for health privacy by rendering deidentification less reliable and by inferring health information from unprotected data sources. Second, the legal rules that protect health privacy nonetheless detrimentally impact the development of AI used in the health system by introducing multiple sources of bias: collection and sharing of data by a small set of entities, the process of data collection while following privacy rules, and the use of …


New Innovation Models In Medical Ai, Nicholson Price Ii, Rachel Sachs, Rebecca S. Eisenberg Feb 2021

New Innovation Models In Medical Ai, Nicholson Price Ii, Rachel Sachs, Rebecca S. Eisenberg

Law & Economics Working Papers

In recent years, scientists and researchers have devoted considerable resources to developing medical artificial intelligence (AI) technologies. Many of these technologies—particularly those which resemble traditional medical devices in their functions—have received substantial attention in the legal and policy literature. But other types of novel AI technologies, such as those that relate to quality improvement and optimizing use of scarce facilities, have been largely absent from the discussion thus far. These AI innovations have the potential to shed light on important aspects of health innovation policy. First, these AI innovations interact less with the legal regimes that scholars traditionally conceive of …


Taxing Big Data: A Proposal To Benefit Society For The Use Of Private Information, Ziva Rubinstein Jan 2021

Taxing Big Data: A Proposal To Benefit Society For The Use Of Private Information, Ziva Rubinstein

Fordham Intellectual Property, Media and Entertainment Law Journal

Artificial intelligence, the technology that is currently shaping our world, relies on the data that each individual supplies. In 2017, the Economist magazine asserted that “the world’s most valuable resource is no longer oil, but data.” This assertion is supported by the current data market, which became a hundred-billion-dollar industry in the data broker market alone. However, despite its immense value, individuals are not compensated when their data is collected, shared, or when that data is used to replace them in the job market. Further, companies are legally avoiding taxes on this resource, both during its collection and on the …


More Than Magic Wands: Analyzing Whether Enablement Analysis Of Patent Claims Created Using Artificial Intelligence Should Be Subjected To The In Re Wands Multi-Factor Analysis, James Lenahan Jan 2021

More Than Magic Wands: Analyzing Whether Enablement Analysis Of Patent Claims Created Using Artificial Intelligence Should Be Subjected To The In Re Wands Multi-Factor Analysis, James Lenahan

Marquette Intellectual Property & Innovation Law Review

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Beyond Algorithms: Toward A Normative Theory Of Automated Regulation, Felix Mormann Jan 2021

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 …


Digital Market Perfection, Rory Van Loo Mar 2019

Digital Market Perfection, Rory Van Loo

Faculty Scholarship

Google’s, Apple’s, and other companies’ automated assistants are increasingly serving as personal shoppers. These digital intermediaries will save us time by purchasing grocery items, transferring bank accounts, and subscribing to cable. The literature has only begun to hint at the paradigm shift needed to navigate the legal risks and rewards of this coming era of automated commerce. This Article begins to fill that gap first by surveying legal battles related to contract exit, data access, and deception that will determine the extent to which automated assistants are able to help consumers to search and switch, potentially bringing tremendous societal benefits. …


The Policy Challenge Of Artificial Intelligence, James Bessen Jul 2018

The Policy Challenge Of Artificial Intelligence, James Bessen

Faculty Scholarship

New "artificial intelligence" (AI) technology promises to bring dramatic social and economic changes, demanding major policy changes. In intellectual property and antitrust law, AI will exacerbate a damaging trend: across all major sectors of the economy, proprietary information technology is increasing the market dominance of large firms. This trend might not seem like bad news, but it is evidence of a slowdown in the spread of technical knowledge throughout the economy. The result is rising industry concentration, slower productivity growth and growing wage inequality. The key challenge to IP and antitrust policy will be counter this trend yet maintain innovation …


Amoral Machines, Or: How Roboticists Can Learn To Stop Worrying And Love The Law, Bryan Casey Aug 2017

Amoral Machines, Or: How Roboticists Can Learn To Stop Worrying And Love The Law, Bryan Casey

Northwestern University Law Review

The media and academic dialogue surrounding high-stakes decisionmaking by robotics applications has been dominated by a focus on morality. But the tendency to do so while overlooking the role that legal incentives play in shaping the behavior of profit-maximizing firms risks marginalizing the field of robotics and rendering many of the deepest challenges facing today’s engineers utterly intractable. This Essay attempts to both halt this trend and offer a course correction. Invoking Justice Oliver Wendell Holmes’s canonical analogy of the “bad man . . . who cares nothing for . . . ethical rules,” it demonstrates why philosophical abstractions like …


Regulating By Robot: Administrative Decision Making In The Machine-Learning Era, Cary Coglianese, David Lehr Jun 2017

Regulating By Robot: Administrative Decision Making In The Machine-Learning Era, Cary Coglianese, David Lehr

All Faculty Scholarship

Machine-learning algorithms are transforming large segments of the economy, underlying everything from product marketing by online retailers to personalized search engines, and from advanced medical imaging to the software in self-driving cars. As machine learning’s use has expanded across all facets of society, anxiety has emerged about the intrusion of algorithmic machines into facets of life previously dependent on human judgment. Alarm bells sounding over the diffusion of artificial intelligence throughout the private sector only portend greater anxiety about digital robots replacing humans in the governmental sphere. A few administrative agencies have already begun to adopt this technology, while others …


Optimizing Government For An Optimizing Economy, Cary Coglianese Jan 2016

Optimizing Government For An Optimizing Economy, Cary Coglianese

All Faculty Scholarship

Much entrepreneurial growth in the United States today emanates from technological advances that optimize through contextualization. Innovations as varied as Airbnb and Uber, fintech firms and precision medicine, are transforming major sectors in the economy by customizing goods and services as well as refining matches between available resources and interested buyers. The technological advances that make up the optimizing economy create new challenges for government oversight of the economy. Traditionally, government has overseen economic activity through general regulations that aim to treat all individuals equally; however, in the optimizing economy, business is moving in the direction of greater individualization, not …