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The Rise of AI and the Need for Enlightened Regulations
Artificial intelligence (AI), especially in its generative form, has become such a common tool in our daily lives that it would be difficult to imagine doing without it. Faced with this unavoidable reality, the European Union recently converged towards a consensus to adopt the recent Act on Artificial Intelligence. Promulgated in December last year, this law aims to ensure that AI applications are deployed while respecting human rights, democratic values and the environment, while promoting innovation. in Europe. This regulatory initiative paves the way towards more secure use of AI.
Understanding AI to Better Supervise It
Prudent use of AI requires, above all, an understanding of how it works. In order to assess the risks and opportunities this technology offers, it is crucial to ask three essential questions: What AI models are at play? What types of data do these systems handle? And what results do they bring out? A clear view on these issues will help align AI practices with ethical principles and business risk management.
Transparency of AI Models
A prerequisite for dealing with AI issues is the clear distinction between various technologies, such as AI or machine learning (ML), in order to avoid confusions such as the erroneous assimilation of ChatGPT to all AI . It is vital to know exactly which models are in action, because depending on how they are initially programmed, they can produce varying results from the same data. Furthermore, it is important to remain vigilant regarding the results generated, especially when potential biases can influence critical decisions such as recruitment or the identification of sensitive documents. Regulators are therefore faced with a complex equation: establishing clear and appropriate regulations in a field with diverse applications and challenges.
The Data Supply Chain and Its Challenges
Before specifically regulating AI, current data laws should be applied to these technologies. AI and ML depend on reliable data supply. Compliance with existing regulations such as GDPR is already a challenge for IT professionals, who must be transparent about the collection, processing and storage of data and respect the sovereignty of users over their information. Clarity is therefore required when it comes to the application of existing rules, and AI suppliers must be transparent about the compliance of their products with these regulations.
The Adoption of Ethical Practices by Companies
Until a more global regulatory framework is developed, it is up to IT managers to promote principles of self-regulation and ethics in AI. It is imperative that they examine the implications of implementing AI technologies in their services and establish governance committees to discuss the ethical dimensions of AI. The possible creation of an international regulatory body specialized in AI could contribute to the definition of globalized standards and the secure and ethical use of artificial intelligence.
Conclusion: Balancing Protection and Innovation
Finally, while AI offers the potential to profoundly transform our daily lives, it is crucial that this is not done by neglecting the principles of data protection and privacy. It is up to regulators to find the precise balance to protect citizens without restricting innovation, by requiring AI players to reveal the foundations and functioning of their tools. This will provide users and organizations with the ability to select these technologies with full knowledge of the facts.
