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Artificial intelligence and technology

At the IBA, we understand the transformative power of technology and its impact on a wide range of legal and societal issues. Established in 2024, this hub serves as a central resource for exploring the evolving tech landscape, including in relation to artificial intelligence (AI), which continues to generate a significant amount of both excitement and concern

Artificial intelligence and life sciences

AI development, notably generative AI, has experienced a significant increase, with life sciences and healthcare as a key investment area. Despite its potential benefits in diagnosis and treatment, AI presents risks such as biases, accessibility issues and cybersecurity threats. Additionally, there are concerns about social risks.

Artificial intelligence and Canada’s immigration system

This article discusses artificial intelligence in Canadian immigration, including recent developments. It also deals with ethical considerations for automated decision-making, and the evolution of artificial intelligence regulations.

Artificial intelligence and Canada’s immigration system

This article discusses artificial intelligence in Canadian immigration, including recent developments. It also deals with ethical considerations for automated decision-making, and the evolution of artificial intelligence regulations.

Presidential project: Artificial intelligence and technology

The IBA AI Task Force looks at issues relating to the regulation of artificial intelligence, AI's impact on the legal profession, and advocating for best practices among bar associations. In 2024 the Task Force produced a report, 'The Future is Now: Artificial Intelligence and the Legal Profession''

Artificial intelligence in Spanish collective bargaining agreements

Artificial intelligence (AI) is absolutely crucial for understanding the future of labour relations. In Spain, specific clauses on this subject have started to appear in a few collective bargaining agreements and are based essentially on respecting legal representatives’ rights to information and on the impact that AI can have on working conditions.

Artificial Intelligence and Arbitration: A US Perspective

As artificial intelligence (AI) continues to develop, complicated questions arise regarding the scope and role AI technologies play in legal practice. This article identifies and discusses challenges and opportunities that AI’s development pose to legal practice from a US perspective, focusing on AI’s applications to US dispute resolution generally, and to US arbitration in particular. It first discusses problems with defining AI, highlighting competing definitions that conceptualise AI from technical and social perspectives. It then discusses how AI tools currently influence, and will continue to influence, dispute resolution practice in the US. Next, it analyses key US legal considerations influencing how AI will be integrated into US dispute resolution systems, including trends such as how combining a developing technology with an evolving legal landscape is a recipe for uncertainty, and how the variety of relevant actors and sources of law in the US federal system generates complexity when adapting AI tools for use in arbitration. Additionally, it discusses how regulation does not happen in a vacuum, but is coloured by regulatory competition.

China's regulation of artificial intelligence – progress and challenges

Artificial intelligence (AI) is developing rapidly in China, with the number of patents and the size of the market both ranking highly among countries. However, this rapid development has posed new challenges to the legal framework, ethical norms and social governance, prompting China to continuously adjust and improve the relevant regulatory system.

Slouching towards oversight - artificial intelligence and the law

This article analyses legal and ethical issues which have come about in the wake of recent developments in the artificial intelligence (AI) market. It also contrasts India’s regulatory position on AI with regulatory frameworks in jurisdictions such as Australia, China, the European Union, Japan, Singapore, the United Kingdom and the United States.

Artificial intelligence in criminal justice: invasion or revolution?

From Homer’s Iliad to 20th century science fiction movies, through Da Vinci’s humanoid robot, artificial intelligence (AI) has been a subject of humankind’s dreams for centuries. Although the notion of AI has started as a fantasy, sometimes even dystopian, like Spielberg’s film Minority Report which depicts a worrying future of advanced technologies in law enforcement, AI is now a reality in daily life, and has shifted human lifestyles. Cars, phones and even healthcare are just some examples of sectors which AI has penetrated. Considered as a branch of computer sciences, AI refers to the building of ‘smart’ machines, able to perform human tasks by mimicking human attributes, intelligence, and reasoning, but without direct human intervention.

Uptake of artificial intelligence by in-house teams

Uptake of Artificial Intelligence by in-house teams by Susie Lunt. IHP August 2019

Artificial intelligence and health: current challenges for the law

Artificial Intelligence (AI) has transformed medical care, with the potential to transform patient care and quality of life. It has had a major impact in the field of medical research and diagnosis; has eliminated time-consuming data monitoring methods and has improved the interpretation of large amounts of data derived from different sources to facilitate diagnosis and enhance the ability to execute early treatment initiatives, therefore preventing disease. The era of AI envisages new roles for healthcare providers, legal practitioners and academics as well public policy designers. This article analyses some of the ethical and legal issues in the healthcare sector.

Artificial intelligence and life sciences: a perspective from Singapore

This article examines the evolving intersection of artificial intelligence (AI) and the life sciences sector in Singapore, focusing on the relevant regulatory frameworks and developments. The article further describes the public consultation approach that Singapore has taken in relation to addressing ethical, legal and social concerns for human biomedical research.

Defending claims relating to the use of artificial intelligence

Ethical implications of artificial intelligence at the Indian workplace

Artificial Intelligence (AI) has rapidly emerged as a pivotal force in the contemporary workplace, redefining the facets of business operations, workforce management and employees’ interaction with technology. The profound impact of AI on the Indian workplace has emphatically transgressed its ethical and legal concerns, underscoring the need for comprehensive legislation or well-defined directives to regulate the use of AI effectively. In this article, we aim to highlight the legal and ethical complexities related to the use of AI at the Indian workplace and the requirement to have robust legislation/directives in place to regulate the use of AI.

Challenges to the regulation of artificial intelligence in Brazil

This article outlines the key milestones in the process of regulating AI in Brazil. It compares the Bill of Law No 21 of 2020, which is the first attempt to create a legal framework for AI in the country, with its main inspirations: the OECD Recommendation and the EU AI Act.

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.

Artificial intelligence: lawyers eye pitfalls as take-up accelerates

The uses for artificial intelligence (AI) across organisations have proliferated, particularly as the amount of data generated by companies has risen sharply. The use of AI carries risks however, including in respect of transparency. In-House Perspective examines the potential pitfalls and looks at the EU’s attempts to improve AI transparency through a proposed regulation.

The EU’s draft regulation on artificial intelligence (part 1)

The first part of this analysis encompasses the AI Act’s scope, as well as prohibited AI practices, AI systems needing higher level of transparency and those subject to voluntary compliance. The second part will be published in the next volume of the Technology Law eBulletin, and will concentrate on high-risk AI systems and the outlined set of requirements for them.

Artificial intelligence is not the future, but the present

For good or bad, the digital revolution is transforming the world. The legal profession is not untouchable. Our duty is to promptly embrace the challenge, engage in the conversation and make sure that this will enhance our practice rather than make us obsolete.

Artificial intelligence in healthcare: legal and regulatory challenges in Brazil

The use of artificial intelligence (AI) in healthcare has grown exponentially, as a reflection of the accelerated pace of technological innovation that characterises this field. This fast pace of development, of which generative AI is an example, brings both benefits and risks, which translate into challenges for Brazil in regard to the process of regulating this field.

Navigating the artificial intelligence landscape: a legal perspective on governance

The rapid integration of artificial intelligence (AI) into business operations must have robust governance frameworks to navigate the complex legal and ethical landscape. This article examines the definition and key components of AI governance, its implementation within organisations and the critical considerations surrounding data protection, intellectual property, compliance and AI ethics. Furthermore, it provides focused analysis of the emerging regulatory environment in Colombia, specifically addressing Circular 002 of 2024 issued by the Superintendence of Industry and Commerce (Superintendencia de Industria y Comercio or SIC) and CONPES 4144 of 2025.

Technology and artificial intelligence: Reengineering arbitration in the new world

The legal profession's dynamic relationship with technology, from email to virtual courtrooms, is constantly reshaping the practice of law. Welcome to the new frontier—the intersection of technology, artificial intelligence (AI), blockchain, and arbitration. This article explores some interesting applications of technology and AI in arbitration and growing global acceptance around it. Needless to say, innovation brings along a plethora of unresolved questions and challenges, leaving practitioners uncertain about the use or potential misuse of sensitive data. It's time to address the difficult questions on regulatory oversight and transparent usage of AI, to avoid controversies and chart an ethical course for integration of technology in dispute resolution.

Artificial intelligence in drug discovery: legal status of AI-generated inventions

This article explores the impact of artificial intelligence (AI) on drug discovery and the legal issues surrounding AI-generated inventions. It analyses the progression of AI-driven tools, their integration into the pharmaceutical industry, and the intellectual property challenges that arise as AI systems become increasingly independent. This article highlights the need to reassess existing legal frameworks to keep pace with the evolving autonomy of AI in the drug development process.

Artificial intelligence: courts weigh in on clash with creatives over copyright

Recent court judgments are helping to define the legal boundaries for AI training and intellectual property (IP) rights.

The synergy between artificial intelligence and life sciences: a revolutionary interplay

Throughout history, technological developments have played a fundamental role in revolutionising the provision of healthcare. Corroborating this premise, artificial intelligence (AI) is currently leading the Fourth Industrial Revolution, opening an unprecedented era of advances in healthcare technology through the introduction of technological tools into the life sciences. Seeking to enlighten the synergy between this disruptive technology and the life sciences, this article explores the major developments arising from the integration of AI into the various branches of the life sciences, as well as the main challenges and ethical considerations that accompany these developments.

Artificial intelligence in HR processes: the boundaries of Italian employment law

Italy has recently experienced an increase in the adoption of AI-assisted tools among employers seeking to leverage technology to enhance HR efficiency and decision-making processes. This is particularly so in talent identification/recruitment processes and in training/performance-measurement areas. However, the Italian legal framework (ie the applicable laws, some of them dating many years ago, and how they are interpreted by the courts, tend to be rather restrictive) poses significant limitations on the implementation of AI-driven tools, principally as concerns regarding the safeguarding of workers’ rights, transparency and data protection, information to unions and non-discrimination. This contribution tries to focus on how to balance such restrictions with the need to keep pace with the advances in AI, which are expected to reshape the HR world.

Empowering employers: the advantages to adopting artificial intelligence in the workplace

Artificial intelligence allows employers to regain lost rights by improving the organisation’s supervision and error detection capabilities, both before and during the employment relationship.

Artificial intelligence: courts weigh in on clash with creatives over copyright

Fighting bias in the age of machine learning and artificial intelligence

Continuing developments in machine learning and artificial intelligence (AI) have raised concerns that algorithms may be unfairly or even illegally biased. This session allowed participants to hear from and interact with leading specialists in the fields of machine learning and AI as they intersect with ethics and the law, in order to understand if eliminating bias in machine learning is possible or even desirable from a technical standpoint.