Law Commons^™

A Public Technology Option, Hannah Bloch-Wehba

Faculty Scholarship

Private technology increasingly underpins public governance. But the state’s growing reliance on private firms to provide a variety of complex technological products and services for public purposes brings significant costs for transparency: new forms of governance are becoming less visible and less amenable to democratic control. Transparency obligations initially designed for public agencies are a poor fit for private vendors that adhere to a very different set of expectations.

Aligning the use of technology in public governance with democratic values calls for rethinking, and in some cases abandoning, the legal structures and doctrinal commitments that insulate private vendors from meaningful …

Either The Law Will Govern Ai, Or Ai Will Govern The Law, Margaret Hu

Popular Media

No abstract provided.

On The Danger Of Not Understanding Technology, Fredric I. Lederer

Popular Media

No abstract provided.

Out Of Sight, Out Of Mind? Remote Work And Contractual Distancing, Nicola Countouris, Valerio De Stefano

Articles & Book Chapters

Since the Covid-19 pandemic, remote work has acquired quasi-Marmite status. It has become difficult, if not impossible, to approach the issue in a measured and dispassionate way, which is one of the reasons books such as the present one are being published. Remote work is often seen as anathema by some who associate it with laziness, low productivity and the degradation of the social fabric of firms and of their creative and collaborative potential. The notorious views of CEOs such as Tesla and Twitter’s Elon Musk or JP Morgan’s Jamie Dimon come to mind, indicative – in the view of …

Introduction To The Future Of Remote Work, Nicola Countouris, Valerio De Stefano, Agnieszka Piasna, Silvia Rainone

Articles & Book Chapters

Debates on the future of work have taken a more fundamental turn in the wake of the Covid-19 pandemic. Early in 2020, when large sections of the workforce were prevented from coming to their usual places of work, remote work became the only way for many to continue to perform their professions. What had been a piecemeal, at times truly sluggish, evolution towards a multilocation approach to work suddenly turned into an abrupt, radical and universal shift. It quickly became clear that the consequences of this shift were far more significant and far-reaching than simply changing the workplace’s address. They …

Naïve Realism, Cognitive Bias, And The Benefits And Risks Of Ai, Harry Surden

Publications

In this short piece I comment on Orly Lobel's book on artificial intelligence (AI) and society "The Equality Machine." Here, I reflect on the complex topic of aI and its impact on society, and the importance of acknowledging both its positive and negative aspects. More broadly, I discuss the various cognitive biases, such as naïve realism, epistemic bubbles, negativity bias, extremity bias, and the availability heuristic, that influence individuals' perceptions of AI, often leading to polarized viewpoints. Technology can both exacerbate and ameliorate these biases, and I commend Lobel's balanced approach to AI analysis as an example to emulate.

Although …

Algorithmic Governance From The Bottom Up, Hannah Bloch-Wehba

Faculty Scholarship

Artificial intelligence and machine learning are both a blessing and a curse for governance. In theory, algorithmic governance makes government more efficient, more accurate, and more fair. But the emergence of automation in governance also rests on public-private collaborations that expand both public and private power, aggravate transparency and accountability gaps, and create significant obstacles for those seeking algorithmic justice. In response, a nascent body of law proposes technocratic policy changes to foster algorithmic accountability, ethics, and transparency.

This Article examines an alternative vision of algorithmic governance, one advanced primarily by social and labor movements instead of technocrats and firms. …

Content Moderation As Surveillance, Hannah Bloch-Wehba

Faculty Scholarship

Technology platforms are the new governments, and content moderation is the new law, or so goes a common refrain. As platforms increasingly turn toward new, automated mechanisms of enforcing their rules, the apparent power of the private sector seems only to grow. Yet beneath the surface lies a web of complex relationships between public and private authorities that call into question whether platforms truly possess such unilateral power. Law enforcement and police are exerting influence over platform content rules, giving governments a louder voice in supposedly “private” decisions. At the same time, law enforcement avails itself of the affordances of …

Algorithms In Business, Merchant-Consumer Interactions, & Regulation, Tabrez Y. Ebrahim

Faculty Scholarship

The shift towards the use of algorithms in business has transformed merchant–consumer interactions. Products and services are increasingly tailored for consumers through algorithms that collect and analyze vast amounts of data from interconnected devices, digital platforms, and social networks. While traditionally merchants and marketeers have utilized market segmentation, customer demographic profiles, and statistical approaches, the exponential increase in consumer data and computing power enables them to develop and implement algorithmic techniques that change consumer markets and society as a whole. Algorithms enable targeting of consumers more effectively, in real-time, and with high predictive accuracy in pricing and profiling strategies. In …

Administrative Law In The Automated State, Cary Coglianese

All Faculty Scholarship

In the future, administrative agencies will rely increasingly on digital automation powered by machine learning algorithms. Can U.S. administrative law accommodate such a future? Not only might a highly automated state readily meet longstanding administrative law principles, but the responsible use of machine learning algorithms might perform even better than the status quo in terms of fulfilling administrative law’s core values of expert decision-making and democratic accountability. Algorithmic governance clearly promises more accurate, data-driven decisions. Moreover, due to their mathematical properties, algorithms might well prove to be more faithful agents of democratic institutions. Yet even if an automated state were …

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 …

The Law Of Black Mirror - Syllabus, Yafit Lev-Aretz, Nizan Packin

Open Educational Resources

Using episodes from the show Black Mirror as a study tool - a show that features tales that explore techno-paranoia - the course analyzes legal and policy considerations of futuristic or hypothetical case studies. The case studies tap into the collective unease about the modern world and bring up a variety of fascinating key philosophical, legal, and economic-based questions.

Towards A Data-Driven Financial System: The Impact Of Covid-19, Nydia Remolina

Centre for AI & Data Governance

The COVID-19 outbreak has a growing impact on the global economy and the financial sector, which plays a critical role in mitigating the unprecedented macroeconomic and financial shock caused by the pandemic. Given the unprecedented nature of the current crisis, financial regulators and supervisors, central banks, along with governments and legislatures face challenges to maintain financial stability, preserve the well-functioning core markets, and ensure the flow of credit to the real economy. Even though the COVID-19 has slowed down our daily lives and stopped the operation of many industries, it did not have the same effect in the data-driven finance …

Artificial Financial Intelligence, William Magnuson

Faculty Scholarship

Recent advances in the field of artificial intelligence have revived long-standing debates about what happens when robots become smarter than humans. Will they destroy us? Will they put us all out of work? Will they lead to a world of techno-savvy haves and techno-ignorant have-nots? These debates have found particular resonance in finance, where computers already play a dominant role. High-frequency traders, quant hedge funds, and robo-advisors all represent, to a greater or lesser degree, real-world instantiations of the impact that artificial intelligence is having on the field. This Article will argue that the primary danger of artificial intelligence in …

Ethics, Ai, Mass Data And Pandemic Challenges: Responsible Data Use And Infrastructure Application For Surveillance And Pre-Emptive Tracing Post-Crisis, Mark Findlay, Jia Yuan Loke, Nydia Remolina Leon, Yum Yin, Benjamin (Tan Renyan) Tham

Research Collection Yong Pung How School Of Law

As the COVID-19 health pandemic rages governments and private companies across the globe are utilising AI-assisted surveillance, reporting, mapping and tracing technologies with the intention of slowing the spread of the virus. These technologies have the capacity to amass personal data and share for community control and citizen safety motivations that empower state agencies and inveigle citizen co-operation which could only be imagined outside such times of real and present danger. While not cavilling with the short-term necessity for these technologies and the data they control, process and share in the health regulation mission, this paper argues that this infrastructure …

Global Challenges And Regulatory Strategies To Fintech, Aurelio Gurrea-Martinez, Nydia Remolina

Centre for AI & Data Governance

The rise of new technologies has changed the operation, regulation and supervision of financial markets, bringing new challenges and opportunities for consumers, regulators, and financial institutions. This Article seeks to explore the most common regulatory strategies used by financial regulators around the world to address the challenges associated with the rise of fintech. These strategies include the imposition of bans, regulatory passivity, adoption of new legislation, permission on a case by case basis, and more interactive approaches such as innovation offices, accelerators and sandboxes. This Article argues that the adoption and desirability of each regulatory approach will depend on a …

Automation In Moderation, Hannah Bloch-Wehba

Faculty Scholarship

This Article assesses recent efforts to encourage online platforms to use automated means to prevent the dissemination of unlawful online content before it is ever seen or distributed. As lawmakers in Europe and around the world closely scrutinize platforms’ “content moderation” practices, automation and artificial intelligence appear increasingly attractive options for ridding the Internet of many kinds of harmful online content, including defamation, copyright infringement, and terrorist speech. Proponents of these initiatives suggest that requiring platforms to screen user content using automation will promote healthier online discourse and will aid efforts to limit Big Tech’s power.

In fact, however, the …

Internet Architecture And Disability, Blake E. Reid

Publications

The Internet is essential for education, employment, information, and cultural and democratic participation. For tens of millions of people with disabilities in the United States, barriers to accessing the Internet—including the visual presentation of information to people who are blind or visually impaired, the aural presentation of information to people who are deaf or hard of hearing, and the persistence of Internet technology, interfaces, and content without regard to prohibitive cognitive load for people with cognitive and intellectual disabilities—collectively pose one of the most significant civil rights issues of the information age. Yet disability law lacks a comprehensive theoretical approach …

Open Banking: Regulatory Challenges For A New Form Of Financial Intermediation In A Data-Driven World, Nydia Remolina

Centre for AI & Data Governance

Data has taken immense importance in the last years. Consider the amount of data that is being collected worldwide every day, industries are reshaping their activities into a data-driven business. The digital transformation of all industries, portent of the fourth industrial revolution, is creating a new kind of economy based on the datafication of almost any aspect of human social, political and economic activity as a result of the information generated by the numerous daily routines of digitally connected individuals and technology. The financial services industry is part of this trend. Embracing the digital revolution and creating the right foundations …

How To Address The Ai Governance Discussion? What Can We Learn From Singapore’S Ai Strategy?, Nydia Remolina Leon, Josephine Seah

Centre for AI & Data Governance

The following research piece explores how Singapore is addressing the AI Governance discussion. First, the document broadly provides some background to the Singapore’s AI strategy; second, it explains exactly what the Model AI Governance Framework is and how Singapore is addressing the AI Governance discussion; third, it compares Singapore’s approach with other jurisdictions’ and how important it is to contribute to the international debate on AI governance; and fourth, the document mentions some challenges ahead and observations on what is missing from current conversations about AI.

The Tao Of The Dao: Taxing An Entity That Lives On A Blockchain, David J. Shakow

All Faculty Scholarship

In this report, Shakow explains how a decentralized autonomous organization functions and interacts with the U.S. tax system and presents the many tax issues that these structures raise. The possibility of using smart contracts to allow an entity to operate totally autonomously on a blockchain platform seems attractive. However, little thought has been given to how such an entity can comply with the requirements of a tax system. The DAO, the first major attempt to create such an organization, failed because of a programming error. If successful examples proliferate in the future, tax authorities will face significant problems in getting …

Humans Forget, Machines Remember: Artificial Intelligence And The Right To Be Forgotten, Tiffany Li, Eduard Fosch Villaronga, Peter Kieseberg

Faculty Scholarship

To understand the Right to be Forgotten in context of artificial intelligence, it is necessary to first delve into an overview of the concepts of human and AI memory and forgetting. Our current law appears to treat human and machine memory alike – supporting a fictitious understanding of memory and forgetting that does not comport with reality. (Some authors have already highlighted the concerns on the perfect remembering.) This Article will examine the problem of AI memory and the Right to be Forgotten, using this example as a model for understanding the failures of current privacy law to reflect the …

Robotic Speakers And Human Listeners, Helen Norton

Publications

In their new book, Robotica, Ron Collins and David Skover assert that we protect speech not so much because of its value to speakers but instead because of its affirmative value to listeners. If we assume that the First Amendment is largely, if not entirely, about serving listeners’ interests—in other words, that it’s listeners all the way down—what would a listener-centered approach to robotic speech require? This short symposium essay briefly discusses the complicated and sometimes even dark side of robotic speech from a listener-centered perspective.

Emerging Technologies Challenging Current Legal Paradigms, W. Keith Robinson, Joshua T. Smith

Faculty Journal Articles and Book Chapters

U.S. patent law has made assumptions about where new inventions will be created, who will create them, and how they will be infringed. Throughout history, emerging technologies have challenged these paradigms. This decade’s emerging technologies will allow humans to create in virtual worlds, connect billions of every day devices via the Internet, and use artificial intelligence to invent across technology fields. If countries like the U.S. wish to encourage inventors to seek patent protection in these emerging areas, then a paradigm shift in the law must occur. Specifically, the law must clarify patent eligibility, recognize the increasing role of artificial …

Copyright For Literate Robots, James Grimmelmann

Cornell Law Faculty Publications

Almost by accident, copyright has concluded that copyright law is for humans only: reading performed by computers doesn't count as infringement. Conceptually, this makes sense: copyright's ideal of romantic readership involves humans writing for other humans. But in an age when more and more manipulation of copyrighted works is carried out by automated processes, this split between human reading (infringement) and robotic reading (exempt) has odd consequences and creates its own tendencies toward a copyright system in which humans occupy a surprisingly peripheral place. This essay describes the shifts in fair use law that brought us here and reflects on …

Future Of Ai And Law, Abby Cessna

Cornell Law School J.D. Student Research Papers

Technology has already transformed the way that law is practiced. The use of computers and digital legal resources, such as LexisNexis and Westlaw have been around for decades, but these are just some of the major technological advancements that have transformed law. For instance, it was groundbreaking for a law firm as prestigious as Orrick, Herrington & Sutcliffe to have a website in the late 1990's, which was getting around 5000 visits a week. Now law firms not only have websites but also use a variety of social media services to promote their firm and services. In addition to promoting …

The Scored Society: Due Process For Automated Predictions, Danielle Keats Citron, Frank A. Pasquale

Faculty Scholarship

Big Data is increasingly mined to rank and rate individuals. Predictive algorithms assess whether we are good credit risks, desirable employees, reliable tenants, valuable customers—or deadbeats, shirkers, menaces, and “wastes of time.” Crucial opportunities are on the line, including the ability to obtain loans, work, housing, and insurance. Though automated scoring is pervasive and consequential, it is also opaque and lacking oversight. In one area where regulation does prevail—credit—the law focuses on credit history, not the derivation of scores from data.

Procedural regularity is essential for those stigmatized by “artificially intelligent” scoring systems. The American due process tradition should inform …