The entertainment sector is experiencing a transformation with the advent of deepfakes—AI-driven synthetic media that can superimpose human features onto others or manipulate audio to create realistic human experiences. This article examines how deepfakes are disrupting media and entertainment, discussing their applications, potential benefits, and the legal implications surrounding their use. Discover how AI is reshaping the industry.

WIPO’s thought leadership piece explores how the rise of AI challenges long-held views on intellectual property. As machines contribute to inventions and artistic works, the definition of authorship and ownership is evolving. Click to explore WIPO's insights on adapting IP policies to the era of frontier technologies.

Deepfakes—AI-generated media that convincingly alter appearances or voices—pose significant challenges in Europe, affecting politics, security, and individual rights. This study delves into the technical, societal, and regulatory aspects of deepfakes, offering insights into their rapid development and the evolving media landscape. It evaluates associated risks and proposes policy measures to mitigate their impact. Click to explore the comprehensive analysis.

Clifford Chance provides a forward-looking perspective on how to embed inclusivity and fairness into AI systems through legal design. It addresses algorithmic discrimination, ethical AI development, and the legal obligations companies face in diverse societies. Click to gain a legal perspective on fostering inclusivity within the AI landscape.

Clifford Chance unpacks the impact of the EU AI Act specifically on workplace technologies. From hiring algorithms to employee monitoring, employers using AI face strict new compliance and transparency rules under the Act. Click to learn how the EU AI Act could reshape the use of AI in employment contexts.

Norton Rose Fulbright offers a deep dive into global AI regulatory trends, focusing on the EU’s groundbreaking AI Act. The piece outlines how developers, deployers, and distributors must adapt to strict risk-based classification and transparency rules. Click to understand the implications of this landmark legislation on the global AI landscape