Tag results for 'AI'
Between algorithms and fundamental rights: the EU’s AI Act and its impact on Latin American employment law
This article examines the growing adoption of Artificial Intelligence (AI) systems in employment and analyses how the European Union (EU)’s AI Act is influencing emerging regulatory frameworks across Latin America, particularly in areas such as transparency, risk classification, human oversight, and worker protection. It highlights how Argentina, Brazil, Chile, and Uruguay are aligning with EU standards while navigating local institutional, economic, and ethical challenges in shaping AI governance for the workplace.
Released on Apr 21, 2026
Artificial intelligence at work: a Malaysian perspective
Artificial intelligence (AI) is rapidly reshaping Malaysia’s workforce by transforming job roles, productivity expectations, and necessary skill sets, creating both opportunities for efficiency and risks of displacement. In response, upskilling initiatives and digital education reforms have been introduced to equip employees with AI competencies, while emphasising the need for coordinated policies to ensure automation complements human labour.
Released on Apr 21, 2026
Strategies for managing the use of AI in employee disputes
This article analyses the current trend in the increased use of AI in employee communication and disputes.
Released on Apr 21, 2026
AI at work: what employers must require, document, and enforce on confidentiality, IP and responsible AI use
As generative artificial intelligence (AI) tools become embedded in everyday workplace practices, Indian employers face growing legal exposure across confidentiality, intellectual property, and governance. This article examines the contractual gaps created by this shift and offers practical guidance for building enforceable AI use frameworks.
Released on Apr 21, 2026
The AI-native law firm: regulatory innovation and the fundamental restructuring of legal service delivery
AI-native law firms represent fundamental restructuring enabled by multiple factors, with specific examples and the key finding (massive cost reductions) culminating in the existential challenge to traditional models.
Released on Dec 11, 2025
New global norms on responsible AI beyond the EU: the G7 Hiroshima Process international guiding principles for developing advanced AI systems and its application in Japan
Through the rapid development of advanced AI systems, such as generative AI, however, the need for ensuring responsible AI has increased. In October 2023, the leaders of the Group of Seven (G7), chaired by Japan, agreed on the Hiroshima AI Process Comprehensive Policy Framework. The framework includes the adoption of the International Guiding Principles on AI and the International Code of Conduct for AI developers, based on the OECD’s report Towards a G7 Common Understanding on Generative AI.
Released on Jan 11, 2024
Utilising Generative AI in Businesses: Risks and Best Practices
The rise in popularity of generative artificial intelligence (‘generative AI’) has ignited the discussion on whether junior employees can be replaced by it. Some have gone to the extent of questioning whether professionals, such as lawyers, can also be replaced by generative AI. Is it wise to replace junior employees or lawyers with generative AI? What factors should be considered before deploying generative AI tools in your business? To consider these questions, we first need to understand the basic workings of generative AI and what it can offer. Fundamentally, AI is intelligence that is not biological. The general understanding is that machines will be ascribed with this intelligence. These machines have the ability to interpret, learn from and process external data in a way that is similar to the capabilities of the human mind. Generative AI is a type of AI program that generates content from a data set. It uses deep learning, a type of machine learning system that behaves like a neural network to simulate the functions of a human brain. In other words, it can mimic human intelligence by exhibiting analytical skills to create new content. Not only can generative AI be utilised in chatbot programs to create text, but it can also be used in programs that can create images, sound or videos. This article will consider two major forms of generative AI, in the context of risks to businesses: chatbots using generative pre-trained transformer technology programs; and image generating programs.
Released on Sep 27, 2023
AI-generated works: an IP headache?
The use of generative AI models, such as Midjourney, raises new and untested copyright issues. The World Intellectual Property Organization (WIPO) has identified numerous issues relating to copyright and AI, which warrant discussion. This article addresses a few of the issues in respect of establishing copyright protection in the UK for AI-generated works under section 9.3 of the Copyright, Designs and Patents Act.
Released on Jun 1, 2023
The EU’s draft regulation on artificial intelligence (part 2)
The second part of this analysis focuses on the high-risk AI systems, their scope and the requirements prescribed by the EU’s draft AI Act. It also pinpoints several important challenges that need to be addressed and issues to be resolved in the final version of the text.
Released on Dec 13, 2021
EU Draft Regulation for Regulating AI
The European Commission has taken a step forward in its strategy aimed at achieving a trustworthy artificial intelligence (AI) environment within the European Union (EU): on 21 April 2021, the European Commission published its proposed Regulation on Artificial Intelligence (draft Regulation). This article outlines this regulation, its requirements, penalties, data governance and future projections.
Released on Aug 2, 2021