Law Commons^™

Algorithmic Opacity, Private Accountability, And Corporate Social Disclosure In The Age Of Artificial Intelligence, Sylvia Lu

Vanderbilt Journal of Entertainment & Technology Law

Today, firms develop machine-learning algorithms to control human decisions in nearly every industry, creating a structural tension between commercial opacity and democratic transparency. In many of their commercial applications, advanced algorithms are technically complicated and privately owned, which allows them to hide from legal regimes and prevents public scrutiny. However, they may demonstrate their negative effects—erosion of democratic norms, damages to financial gains, and extending harms to stakeholders—without warning. Nevertheless, because the inner workings and applications of algorithms are generally incomprehensible and protected as trade secrets, they can be completely shielded from public surveillance. One of the solutions to this …

The Machine As Author, Daniel J. Gervais

Vanderbilt Law School Faculty Publications

Machines are increasingly good at emulating humans and laying siege to what has been a strictly human outpost: intellectual creativity.

At this juncture, we cannot know with certainty how high machines will reach on the creativity ladder when compared to, or measured against, their human counterparts, but we do know this. They are far enough already to force us to ask a genuinely hard and complex question, one that intellectual property (“IP”) scholars and courts will need to answer soon; namely, whether copyrights should be granted to productions made not by humans but by machines.

This Article’s specific objective is …

People V. Robots: A Roadmap For Enforcing California's New Online Bot Disclosure Act, Barry Stricke

Vanderbilt Journal of Entertainment & Technology Law

Bots are software applications that complete tasks automatically. A bot's communication is disembodied, so humans can mistake it for a real person, and their misbelief can be exploited by the bot owner to deploy malware or phish personal data. Bots also pose as consumers posting online product reviews or spread (often fake) news, and a bot owner can coordinate multiple social-network accounts to trick a network's "trending" algorithms, boosting the visibility of specific content, sowing and exacerbating controversy, or fabricating an impression of mass individual consensus. California's 2019 Bolstering Online Transparency Act (the "CA Bot Act') imposes conspicuous disclosure requirements …

Fintech And International Financial Regulation, Yesha Yadav

Vanderbilt Law School Faculty Publications

This Article shows that fintech exacerbates the difficulties of standard setting in international financial regulation. Earlier work introduced the "Innovation Trilemma" (the Trilemma). When seeking to balance the goals of achieving market integrity and innovation through clear and simple rulemaking, regulators can-at best-achieve only two out of these three objectives. Fintech's unique characteristics- a reliance on automation and artificial intelligence, novel types of big data, as well as the use of disintermediating financial supply chains comprising a mix of traditional firms as well as technology specialists and newcomers-complicates the application of the Trilemma. Rulemaking struggles to achieve needed clarity where …

The Very Brief History Of Decentralized Blockchain Governance, Michael Abramowicz

Vanderbilt Journal of Entertainment & Technology Law

A new form of blockchain governance involving the use of formal games that incentivize participants to identify focal resolutions to normative questions is emerging. This symposium contribution provides a brief survey of the literature proposing and critiquing the use of such mechanisms of decentralized decision-making, and it evaluates early laboratory and real-world experiments with this approach.