As the 21st century brought us to the treasure trove of data, it also brought us to the 'brink of privacy.' Technological developments allow unprecedented optimization of personal data for the public good, involving both the public and private sectors. The challenge before us is reconciling the optimization of data for the benefit of humanity with respect for the privacy of individuals. A normative framework is emerging for the optimization of personal data, with the modernization of privacy laws accommodating the use of personal data for research, study, and statistics, and with best practices providing operational tools to that end while respecting the right to privacy. Chantal Bernier, Co-lead of the Global Privacy and Cybersecurity Group at Dentons, discusses regulations and tools concerning data optimization, referring to laws in the EU and Canada as examples.
Teguh Darmawan, Counsel at Hogan Lovells, delves into the 2024 ASEAN Guide on AI Governance and Ethics, which offers practical strategies to ensure responsible artificial intelligence (AI) deployment across the region.
Ana Carolina Cesar and Lara Salgueiro, from KLA Advogados, explore the significance of the Universal Declaration of Human Rights (UDHR) and its continued relevance in the age of artificial intelligence (AI). As AI technologies rapidly evolve, she emphasizes the urgent need for robust regulations to ensure these advancements align with human rights principles, promoting dignity, equality, and justice for all.
In this Insight article, Romina Redondo, Attorney and Privacy Professional, delves into the findings from the first Latin American Artificial Intelligence Index (LAAII) and explores how regional developments might address relevant challenges and opportunities.
The EU Artificial Intelligence Act (EU AI Act) has set an important precedent for the rest of the world and will likely have an impact on Latin American countries' approach to artificial intelligence (AI) regulation. Latin American and privacy regimes have been influenced by the European approach - albeit most jurisdictions have not updated their frameworks after the advent of the General Data Protection Regulation (GDPR). However, the so-called Brussels effect could be especially problematic in the realm of AI, given the unique needs and opportunities specific to Latin America, some of which were outlined in the first LAAII.1 Key LAAI findings relevant to AI governance are discussed below, along with some recent developments at the country and regional levels.
Artificial intelligence (AI) is actively transforming the delivery of financial services to society. Firms are leveraging new and emerging tools to streamline operations, design more sophisticated products and services, and deliver innovative user experiences.
However, embracing AI must be balanced with risks to all parties. Part one of this series on the risks of AI looked at the healthcare sector. In this article, Oliver Woodhouse and Hannah Pettit, from Ashfords LLP, consider the impact of AI in financial services, identifying use cases, key risks, and the latest regulatory developments.
India's commitment towards the promotion and development of artificial intelligence (AI) was recently highlighted in the Union Budget of 2024-25 that was announced by the Indian government in July 2024. The Budget allocated $65 million exclusively to the IndiaAI Mission, an ambitious $1.1. billion program that was announced earlier this year to focus on AI research and infrastructure in India. It has also widely been reported that the Ministry of Electronics and Information Technology (MeitY) is in the process of formulating a national AI policy, which is set to address a wide spectrum of issues including the infringement of intellectual property rights and the development of responsible AI. As per reports, MeitY is also analyzing the AI framework of other jurisdictions to include learnings from these frameworks in its national AI policy. Part I of this series focussed on understanding the regulatory approaches adopted by some key jurisdictions like the EU and the USA. In Part two, Raghav Muthanna, Avimukt Dar, and Himangini Mishra, from INDUSLAW, explore measures that India can adopt, and lessons it can take from such markets, in its journey in the governance of AI systems.
Artificial intelligence (AI) is not new, but we have seen a huge growth in use cases in recent years and it is now changing the way that many sectors operate. Hannah Petit, Associate at Ashfords LLP, explores the impact of AI on the healthcare sector and the key risks of using AI within healthcare.
While the EU Artificial Intelligence Act (the EU AI Act) rightly garners attention as the world's first comprehensive regulatory scheme governing the development and use of AI technologies, other guidelines and principles have paved the way for policymakers on both sides of the Atlantic to think carefully about managing the risks while reaping the benefits of AI. Among them is the Ibero-American Personal Data Protection Network's (the Network) 2019 General Recommendations for the Processing of Personal Data in Artificial Intelligence (the AI Recommendations). Crafted before the explosion of generative AI applications such as ChatGPT, the Network's AI Recommendations provide a useful framework for organizations not otherwise subject to the General Data Protection Regulation (GDPR) to consider and incorporate best practices in their creation and use of AI technologies.
Established in 2003, the Network is an association of data protection authorities in Spanish and Portuguese-speaking countries in North, Central, and South America, as well as Brazil, Spain, and Portugal. Among other things, it develops initiatives and projects concerning the protection of personal data in Ibero-American countries. The AI Recommendations were approved by the Network in June 2019.
Christopher E. Hart, Partner at Foley Hoag LLP, discusses the AI Recommendations and how organizations can apply these principles.
In the past few years, the digital market has witnessed an outpour of artificial intelligence (AI) systems, with the AI market expected to reach a valuation of nearly $2 trillion by 2030. However, the surge in the use of AI has led to the birth of several pertinent issues ranging from concerns about data privacy and intellectual property rights infringements to issues around transparency and ethical concerns, among others. In the first part of this series on navigating the AI frontier, Raghav Muthanna, Avimukt Dar, and Himangini Mishra, from INDUSLAW, aim to analyze and assess the regulatory position around AI in three key jurisdictions, namely the EU, USA, and India. Part two of this series will evaluate the diverse approaches of these jurisdictions and the learnings that India can adopt from the EU and the USA while framing its own set of AI regulations, as well as what lies ahead for India in the AI regulatory space.
As artificial intelligence (AI) continues to revolutionize various industries and evolve at a rapid pace, its impact is becoming more pronounced, making cybersecurity an essential concern. In the dynamic digital landscape, the scale and sophistication of cyber threats are intensifying, with malicious entities exploiting AI technology to amplify their attack capabilities. Conversely, a growing number of companies are harnessing AI technologies to develop advanced cybersecurity solutions aimed at enhancing protection and resilience against these threats. The complex interplay between AI and cybersecurity is thus reshaping the digital terrain. In this article, Anne-Gabrielle Haie and Maria Avramidou, from Steptoe LLP, delve into the cybersecurity risks associated with the use of AI and how these risks are addressed by the European Union's Artificial Intelligence Act (the EU AI Act), which sets out specific cybersecurity obligations. Moreover, they analyze how AI can be a game-changer in bolstering cybersecurity.
The global data protection landscape is constantly evolving from both a technological and legislative perspective. This year alone, we have seen significant developments in the artificial intelligence (AI) sector, including the EU's adoption of the EU Artificial Intelligence Act (the EU AI Act), the Data Act coming into force, and numerous developments in the US legislative landscape with the Oregon Consumer Privacy Act and the Texas Data Privacy and Security Act taking effect this month. This ever-changing environment can make it extremely difficult for data protection and privacy professionals to navigate due to the nuances in legislation and regulatory approaches. Raymond Orife, Head of Data Protection and AI Governance, at Evalian Limited, sets out key practical tips for data protection officers (DPOs) to follow when implementing an international data protection program.
In this Insight article, Aztrid Camarillo, a Privacy Expert, discusses the importance of Privacy by Design and Default in algorithms, considering elements such as ethical and responsible use of data and the current regulatory landscape in various jurisdictions.
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