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How To Explain To Your Twins Why Only One Can Be American: The Right To Citizenship Of Children Born To Same-Sex Couples Through Assisted Reproductive Technology, Lena K. Bruce Dec 2019

How To Explain To Your Twins Why Only One Can Be American: The Right To Citizenship Of Children Born To Same-Sex Couples Through Assisted Reproductive Technology, Lena K. Bruce

Fordham Law Review

Sections 301 and 309 of the Immigration and Nationality Act (INA) govern birthright citizenship by descent. Per the U.S. Department of State’s (DOS) interpretation of these sections, to transmit citizenship to a child, the U.S. citizen-parent must have a biological connection with the child. For couples who use assisted reproductive technology (ART) to have children, however, this means that one parent will always be barred from transmitting citizenship to their own child. This is because in ART families, at least one parent will always lack the biological connection that the DOS requires to transmit citizenship pursuant to the INA. This …


Cda 230 For A Smart Internet, Madeline Byrd, Katherine J. Strandburg Nov 2019

Cda 230 For A Smart Internet, Madeline Byrd, Katherine J. Strandburg

Fordham Law Review

This Article analyzes CDA 230 liability in light of the evolution of smart services employing data-driven personalized models of user behavior. As an illustrative case study, we discuss discrimination claims against Facebook’s ad-targeting platform, relying on recent empirical studies5 and litigation documents for factual background.


Liability For Ai Decision-Making: Some Legal And Ethical Considerations, Iria Giuffrida Nov 2019

Liability For Ai Decision-Making: Some Legal And Ethical Considerations, Iria Giuffrida

Fordham Law Review

The creation and commercialization of these systems raise the question of how liability risks will play out in real life. However, as technical advancements have outpaced legal actions, it is unclear how the law will treat AI systems. This Article briefly addresses the legal ramifications and liability risks associated with reliance on—or delegation to—AI systems, and it sketches a framework suggesting how we can address the question of whether AI merits a new approach to deal with the liability challenges it raises when humans remain “in” or “on” the loop.


Urbanism Under Google: Lessons From Sidewalk Toronto, Ellen P. Goodman, Julia Powles Nov 2019

Urbanism Under Google: Lessons From Sidewalk Toronto, Ellen P. Goodman, Julia Powles

Fordham Law Review

Cities around the world are rapidly adopting digital technologies, data analytics, and the trappings of “smart” infrastructure. These innovations are touted as solutions to help rationalize services and address rising urban challenges, whether in housing, transit, energy, law enforcement, health care, waste management, or population flow. Promises of urban innovation unite cities’ need for help with technology firms’ need for markets and are rarely subject to evidentiary burdens about projected benefits (let alone costs). For the city, being smart is about functioning better and attracting tech plaudits. For the technology company, the smart city is a way to capture the …


Artificial Intelligence, Machine Learning, And Bias In Finance: Toward Responsible Innovation, Kristin Johnson, Frank Pasquale, Jennifer Chapman Nov 2019

Artificial Intelligence, Machine Learning, And Bias In Finance: Toward Responsible Innovation, Kristin Johnson, Frank Pasquale, Jennifer Chapman

Fordham Law Review

According to some futurists, financial markets’ automation will substitute increasingly sophisticated, objective, analytical, model-based assessments of, for example, a borrower’s creditworthiness for direct human evaluations irrevocably tainted by bias and subject to the cognitive limits of the human brain. However, even if they do occur, such advances may violate other legal principles.


Artificial Intelligence, Finance, And The Law, Tom C.W. Lin Nov 2019

Artificial Intelligence, Finance, And The Law, Tom C.W. Lin

Fordham Law Review

Artificial intelligence is an existential component of modern finance. The progress and promise realized and presented by artificial intelligence in finance has been thus far remarkable. It has made finance cheaper, faster, larger, more accessible, more profitable, and more efficient in many ways. Yet for all the significant progress and promise made possible by financial artificial intelligence, it also presents serious risks and limitations. This Article offers a study of those risks and limitations—the ways artificial intelligence and misunderstandings of it can harm and hinder law, finance, and society. It provides a broad examination of inherent and structural risks and …


Artificial Intelligence In Pharmaceuticals, Biologics, And Medical Devices: Present And Future Regulatory Models, David W. Opderbeck Nov 2019

Artificial Intelligence In Pharmaceuticals, Biologics, And Medical Devices: Present And Future Regulatory Models, David W. Opderbeck

Fordham Law Review

Artificial intelligence (AI) and AI-assisted technologies are set to transform the pharmaceutical, biologic, and medical device industries. AI is accelerating a convergence in the pharmaceutical and medical device industries and, in the health-care industry more broadly, is similar to the convergence of the media, entertainment, and communications industries.


Robot, Inc.: Personhood For Autonomous Systems?, Gerhard Wagner Nov 2019

Robot, Inc.: Personhood For Autonomous Systems?, Gerhard Wagner

Fordham Law Review

Since the invention of the steam engine, technological progress has served as a driver of innovation for liability systems. Pertinent examples include the arrival of the railway and the introduction of motor-powered vehicles. Today, the digital revolution challenges established legal axioms more fundamentally than technological innovations from earlier times. The development of robots and other digital agents operating with the help of artificial intelligence will transform many, if not all, product markets. It will also blur the distinction between goods and services and call into question the existing allocation of responsibility between manufacturers and suppliers on one side and owners, …


Power, Process, And Automated Decision-Making, Ari Ezra Waldman Nov 2019

Power, Process, And Automated Decision-Making, Ari Ezra Waldman

Fordham Law Review

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 accountability and, therefore, undermines due process.


Guilt By Genetic Association: The Fourth Amendment And The Search Of Private Genetic Databases By Law Enforcement, Claire Abrahamson May 2019

Guilt By Genetic Association: The Fourth Amendment And The Search Of Private Genetic Databases By Law Enforcement, Claire Abrahamson

Fordham Law Review

Over the course of 2018, a number of suspects in unsolved crimes have been identified through the use of GEDMatch, a public online genetic database. Law enforcement’s use of GEDMatch to identify suspects in cold cases likely does not constitute a search under the Fourth Amendment because the genetic information hosted on the website is publicly available. Transparency reports from direct-to-consumer (DTC) genetic testing providers like 23andMe and Ancestry suggest that federal and state officials may now be requesting access to private genetic databases as well. Whether law enforcement’s use of private DTC genetic databases to search for familial relatives …


Foreword: Rise Of The Machines: Artificial Intelligence, Robotics, And The Reprogramming Of Law, Deborah W. Denno, Ryan Surujnath Jan 2019

Foreword: Rise Of The Machines: Artificial Intelligence, Robotics, And The Reprogramming Of Law, Deborah W. Denno, Ryan Surujnath

Fordham Law Review

This Foreword provides an overview of Rise of the Machines: Artificial Intelligence, Robotics, and the Reprogramming of Law, a symposium hosted by the Fordham Law Review and cosponsored by the Fordham Law School’s Neuroscience and Law Center.