COO / Co-fondateur

Opportunities and Risks of AI

The wave of AI is sweeping across all domains. Making rapid progress, it abruptly opens the field of possibilities, offering remarkable transformative potential in the business world. At the business level, it reveals new operational modes, allows for rethinking decisions, redefines interactions with customers and maintains competitiveness in a constantly changing universe.

The deployment of AI is already taking place at the business level, with companies embracing its promises while being aware of the challenges that must be prepared for. We will explore the main opportunities in terms of innovation, efficiency, and commercial success, before going into the principal challenges it presents, to better overcome them.

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Biometrics, AI, and Security: When Progress Challenges Regulatory Frameworks

Biometrics. Behind this modern notion lies an ancient practice. Currently, “bio-digital identification” finds breeding ground for its expansion in technological advancements and international events.

Beyond security, numerous sectors assign significant importance to its use. The attraction to this technology raises questions about the nature of biometrics, its current and future uses, as well as the measures taken by governments to regulate practices that carry potential risks of abuse.

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Overview of AI regulation in the United States

From suppliers of artificial intelligence systems (AIS) to policymakers, a global consensus is emerging on the need to regulate the development, marketing and use of this multifaceted technology. The United States has demonstrated its commitment to making AI safer through ambitious, voluntary legislative projects designed to guide the efforts of AI players and thus regulate its use. As a result, the years 2023 and 2024 could see more restrictive measures implemented by bodies such as the Federal Trade Commission (FTC). In this article, find out about key legislative initiatives at the federal level for AI in the US, as well as at the local level to understand the fragmented approach to US AI regulation.

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AI and ethics: what’s at stake?

When it comes to artificial intelligence (AI), ethics are at the heart of everything we do.

Digital ethics is defined as the responsible, sustainable and reasoned use of AI. Ethical AI must therefore be able to operate without discrimination, and have a positive impact on the environment and society.

The fears it arouses are mainly concentrated in the areas of health and employment.

This article will address, under the prism of the various regulations established or to come, the ethical issues of AI with in particular the question of its impact on employment. It will present the solutions and recommendations put forward by authorities and public authorities to implement the principle of ethical AI.

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AI regulation in Canada: focus on LIAD

In June 2022, the Canadian government introduced the Artificial Intelligence and Data Act (AIDA) as part of Bill C-27, the Digital Charter Implementation Act 2022.

Its aim is to strengthen Canadians’ confidence in digital technologies.

Canada already has a solid legal framework that can be applied to certain uses of AI.

Bill C-27 seeks to modernize this existing framework, as well as introducing new regulations exclusive to the use of artificial intelligence systems (AI systems or AIS).

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AI and the environment: what impact, what obligations?

Artificial intelligence has an ambiguous relationship with the environment.

Presented as offering solutions to energy challenges, AI is increasingly the subject of reports warning of its impact on the environment.

AI relies on infrastructures that store large amounts of data, and therefore consume a lot of resources and energy.

So how can we reconcile AI and environmental protection?

We will discuss these new challenges and present the solutions and possible obligations that AI systems will have to comply with under the new European regulation on Artificial Intelligence.

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China and AI: what regulations?

Against a backdrop of rapid growth in artificial intelligence, China is keen to impose rules and aims to become the world leader in this sector by 2030, particularly in the automotive and medical industries.

Healthcare is indeed a priority for China, which since 2014 has been the world’s second most advanced country in e-health.

In 2014, the Chinese company Alibaba developed the AliHealth platform, which has become a benchmark in e-pharmacy.

Anchored in the New Silk Roads, China sees AI as a strategic sector, not least for its place in global innovation.

What is China actually doing to regulate artificial intelligence? Can it become a real competitor to the European Union? What obligations must companies using artificial intelligence comply with?

Zoom in on these Chinese practices and their main features.

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