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Tag: Artificial Intelligence

AI in Contract Drafting: Transforming Legal Practice

AI in Contract Drafting: Transforming Legal Practice

by Audrey Zhang Yang

Woman typing on laptop with one organic hand and one robot hand.

 

Introduction

The legal profession is experiencing an unprecedented transformation driven by the integration of Artificial Intelligence (AI) into various aspects of legal practice. Among these changes, the evolution of contract drafting and management stands as a particularly significant development. As law firms and legal departments navigate the opportunities and challenges presented by evolving legal technologies, understanding how AI is reshaping contract drafting becomes crucial for legal practitioners and law school students. This paper examines the current state of AI in contract drafting, its practical applications, and its implications for the legal profession.

The EU AI Act: Pioneering Regulatory Framework for Artificial Intelligence

The EU AI Act: Pioneering Regulatory Framework for Artificial Intelligence

By Audrey Zhang Yang

 

Introduction

On July 12, 2024, the European Union marked a significant milestone in Artificial Intelligence (AI) regulation with the official publication of Regulation 2024/1689, commonly known as the EU AI Act, in the Official Journal of the European Union.[1] This landmark legislation, comprising 180 recitals, 113 Articles and 13 annexes, establishes a comprehensive framework for the development, deployment, and use of AI systems within the EU.[2] The Act aims to safeguard fundamental rights, ensure public safety, and promote ethical, trustworthy, and human-centric AI innovation.

This work examines the key provisions of the EU AI Act, its scope of application, the risk-based classification system, and the implementation timeline. It also explores the potential impact on various stakeholders in the AI ecosystem and considers the challenges and opportunities presented by this groundbreaking regulation.

Can AI-Generated Output Be Protected Under Intellectual Property Law?

Can AI-Generated Output Be Protected Under Intellectual Property Law?

By Audrey Zhang Yang

Introduction

AI-generated output represents a groundbreaking integration of technology and creativity that increasingly challenges established norms in the legal world. Inevitably, it raises the question on whether law and policy on intellectual property protection should evolve and adapt to recognize this changing innovation trend. The Progress Clause of the Constitution gives Congress the power to “promote the Progress of Science…by securing for limited Times to Authors…the exclusive Right to their…Writing.”[i] Pursuant to this authorization, the Copyright Act extends copyright protection for “original works of authorship fixed in any tangible medium of expression.”[ii] The Copyright Act neither defined “authorship” not “works of authorship.”[iii] Traditionally, courts assigns authorship to individuals who create original works. However, determining authorship is more challenging in the case of artificial intelligence (AI). Some believe that since AI systems are tools programmed by humans, the programmers are entitled to authorship rights.[iv] Also, when someone instructs AI to solve a problem, that person might qualify as an investor if she formulates a problem in a manner that requires inventive skill.[v] However, laws on intellectual property, patent, and copyright were not originally passed with AI in mind. Therefore, there is no law specifically addressing AI-generated invention in any jurisdiction.

Beyond Name, Image, Likeness: Voice Protection

Beyond Name, Image, Likeness: Voice Protection

By Jack Sherwood

Artificial Intelligence has been used in the music industry for decades. As early as 2004, AI audio modulation was introduced by Yamaha to synthesize melodic vocals.[1] Even in the 2010s, AI was used to enhance the audio of voice actors who no longer had the same vocal delivery, such as the likes of James Earl Jones.[2] 20 years later, AI has evolved from simply integrating and enhancing vocal audio to composing and producing an entire Drake song from a 250-word instruction text, one that Drake himself never touched.[3] While Drake’s label, UMG, immediately issued a copyright takedown of the AI track “Heart on My Sleeve”, the damage had already been done, with streams exceeding 7 million on Twitter alone. [4] In a world where an artist can be entirely mimicked by AI in a matter of minutes, how do we provide protection?

You Can’t Spell Agriculture Without AI

You Can’t Spell “Agriculture” Without “AI”

By Avery S. Younis

In a world of rapidly advancing technology, it is no surprise that Artificial Intelligence (AI) has made a home for itself in the agriculture industry. While technology may be at the forefront of our minds, food still has a monopoly on our stomachs. The population has doubled since 1974—there are over 8 billion humans to feed on this planet.[1] With growing numbers of people and rising concerns about resources, we are faced with an efficiency dilemma: how do we increase agricultural production without straining our environment?

Deepfake Porn: It Impacts More People Than Just Taylor Swift

Deepfake Porn: It Impacts More People Than Just Taylor Swift

By: Brenna Harman

 

What is a Deepfake and what is Deepfake Porn?

A deepfake is a fake or doctored image generated by a kind of machine learning known as “deep” learning.[1] The machine is fed algorithms and then learns how to produce an output that resembles the images or examples it learned from.[2] Sometimes harmless, this AI can be used to “age yourself,” face swap with your friend, and more.[3] Despite the fun, deep learning can be used to create images that humans are unable to identify as being fake at all.[4]

Rhythms and Algorithms: How AI is Shaping the Music Industry

Rhythms and Algorithms: How AI is Shaping the Music Industry

By Savannah Throneberry

Artificial Intelligence (AI) has substantially impacted the music scene in the last few years. Individuals have used AI to impersonate popular artists, like Drake, both in sound and style, leaving listeners perplexed as to whether they are listening to a published piece or a well disguised dupe. As a result, artists in the music industry now face the tough task of embracing or rejecting artificial intelligence in music creation.

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