191 hasil untuk machine learning
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Algorithmic Destruction
Contemporary privacy law does not go far enough to protect our privacy interests, particularly where artificial intelligence and machine learning are concerned. While many have written on problems of algorithmic bias and data deletion, this Article introduces the novel concept of the “algorithmic…
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The Future of Facial Recognition Is Not Fully Known: Developing Privacy and Security Regulatory Mechanisms for Facial Recognition in the Retail Sector
In recent years, advances in facial recognition technology have resulted in a rapid expansion in the prevalence of private sector biometric technologies. Facial recognition, while providing new potentials for safety and security and personalized marketing by retailers implicates complicated…
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A Case Against Bad Math
If you google any of one your favorite Tech News blogs, you will likely see at least one of the following phrases on the homepage: “artificial intelligence,” “Machine learning,” or “algorithm.” An algorithm, the basis of this fast-growing area of computer science, is a sequence of instructions…
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Artificial Intelligence & Artificial Prices: Safeguarding Securities Markets from Manipulation by Non-Human Actors
Securities traders are currently competing to use Artificial Intelligence (A.I.) in order to make more profitable decisions in the marketplace. While A.I. provides superior abilities in recognizing market patterns, its complexity can obscure its decision-making process beyond human comprehension…
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Power, Process, and Automated Decision-Making
Automated decision-making systems based on “big data”–powered algorithms and machine learning are just as prone to mistakes, biases, and arbitrariness as their human counterparts. The result is a technologically driven decision-making process that seems to defy interrogation, analysis, and…
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AI and Law Milestones: From Top-Down to Bottom-Up Computational Models of Legal Reasoning (and Back)
…legal rules and statutes, knowledge-based models of legal argument, machine learning models that classify case texts and predict outcomes, and the design and evaluation of legal applications of LLMs and GenAI. These milestones illustrate how top-down knowledge-based computational models of legal…
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A Computational Analysis of Oral Argument in the Supreme Court
As the first study to leverage modem machine learning techniques to analyze Supreme Court oral argument dialogue, this Article breaks important new ground. Previous empirical studies of oral argument and judicial decision making have been limited to a small number of discrete, quantifiable…
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An Unauthorized Renaissance? An Analysis of Artists’ Claims for Copyright Infringement Against AI Generated Art and Possible Defenses
…unauthorized copies of copyrighted works which they used to train their machine learning programs. A determination on whether AI generated art constitutes copyright infringement has not been made by the courts before. To bring a successful copyright infringement claim, a party must show proof of a…
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Technology-Assisted Document Review: Is it Defensible?
…changed the way attorneys meet discovery demands. New technologies like “machine learning” and “predictive coding” give lawyers important new tools to manage the growing volume of electronically stored information (“ESI”).
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Surveillance By Algorithm: The NSA, Computerized Intelligence Collection, and Human Rights
ISIS’s cultivation of social media has reinforced states’ interest in using automated surveillance. However, automated surveillance using artificial intelligence (“machine learning”) techniques has also sharpened privacy concerns that have been acute since Edward Snowden’s disclosures. This Article…
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The Algorithmic Divide and Equality in the Age of Artificial Intelligence
…patterns, optimize solutions, accelerate operations, facilitate self-learning, minimize human errors and biases, and foster improvements in technological products and services. Notwithstanding these tremendous benefits, algorithms and intelligent machines do not provide equal benefits to all. Just…
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Big Data and Discrimination
…we bring together existing legal requirements with the structure of machine-learning decision-making in order to identify tensions between old law and new methods and lay the ground for legal solutions. We argue that, while automated pricing rules provide increased transparency, their complexity…
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Unfair Discrimination Standards, Actuarial Fairness, and Insurers’ Use of Big Data
…to insurance, even while the regulatory framework for insurers’ use of machine learning to set rates is being constructed. Several comparisons are made across U.S. and international sources to frame the issue and its concepts. There may never be agreement on the definition of rate fairness in the…
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AI, Can You Hear Me? Promoting Procedural Due Process in Government Use of Artificial Intelligence Technologies
This Article explores the constitutional implications of algorithms, machine learning, and Artificial Intelligence (AI) in legal processes and decision-making, particularly under the Due Process Clause. Regarding Judge Henry J. Friendly’s procedural due process principles of the U.S. Constitution…
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Where We’re Going, We Don’t Need Drivers: Autonomous Vehicles and AI-Chaperone Liability
…Artificial Intelligence (AI) devices and systems that are capable of machine learning will be held accountable. To understand the potential answer, one may simply go back in time and see how this question would be answered under traditional torts. This Comment tests whether the incident involving…
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Artificial Intelligence in the Courtroom: Forensic Machines, Expert Witnesses, and the Confrontation Clause
…applications in the forensic sciences have already emerged in practice. Machine learning-enabled acoustic gunshot detectors, facial recognition software, and a variety of pattern recognition learning models are already disrupting law enforcement operations across the country. Soon, criminal…
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Cheap Creativity and What It Will Do
Artificial intelligence (AI), in the form of machine learning systems, is becoming widely deployed across many industries to facilitate the production of new technical or expressive works. Among other applications, these technologies promise rapid product design and creation, often exceeding the…
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The Price Is Right . . . Or Is It?: Thirteen Factors in Evaluating the Antitrust Implications of Competitors’ Common Use of Pricing Algorithms
…the integration of artificial intelligence (AI) and other forms of machine learning into pricing decisions has muddied the waters on an otherwise clear question. If courts answer this question incorrectly it could have disastrous consequences for markets, technological innovation, and consumer…
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Workplace Transparency Beyond Disclosure: What's Blocking the View?
Recent developments have exacerbated informational asymmetry between employers and workers. Employers increasingly use “black box” automateddecision systems, such as machine learning processes where algorithms are used in recruitment and hiring. They have technological tools that enable intense…
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DALL-E Does Palsgraf
…This article does just that. I first introduce this tool specifically and machine learning generally. I then summarize the seminal case of Palsgraf v. Long Island Railroad. For the main event, I show the images that the tool created based on the facts as the majority and dissent recount them…