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Régulation des algorithmes Regulation of algorithms Regulación de algoritmos
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La regulación de algoritmos, o control algorítmico, es la creación de leyes, reglas y políticas del sector público para promover y regular los algoritmos, particularmente en aprendizaje automático e inteligencia artificial.​​ Regulation of algorithms, or algorithmic regulation, is the creation of laws, rules and public sector policies for promotion and regulation of algorithms, particularly in artificial intelligence and machine learning. For the subset of AI algorithms, the term regulation of artificial intelligence is used. The regulatory and policy landscape for artificial intelligence (AI) is an emerging issue in jurisdictions globally, including in the European Union. Regulation of AI is considered necessary to both encourage AI and manage associated risks, but challenging. Another emerging topic is the regulation of blockchain algorithms (Use of the smart contracts must be regulated) and is mentioned along with regulation of AI algorithms. Many countries have enacted regulations of high frequency trades, La régulation des algorithmes, ou régulation algorithmique, est la création de lois, de règles et de politiques du secteur public pour la promotion et la régulation des algorithmes, en particulier dans l'intelligence artificielle et l'apprentissage automatique. Un autre sujet émergent est la réglementation des algorithmes de blockchain et il est associé à la réglementation des algorithmes d'IA. De nombreux pays ont adopté des réglementations sur les échanges à haute fréquence, qui évolue en raison des progrès technologiques vers le domaine des algorithmes d'IA.
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La régulation des algorithmes, ou régulation algorithmique, est la création de lois, de règles et de politiques du secteur public pour la promotion et la régulation des algorithmes, en particulier dans l'intelligence artificielle et l'apprentissage automatique. Pour le sous-ensemble d'algorithmes d'IA, le terme régulation de l'intelligence artificielle est utilisé. Le paysage réglementaire et politique de l'intelligence artificielle (IA) est un problème émergent dans les juridictions du monde entier, y compris dans l'Union européenne. La réglementation de l'IA est considérée comme nécessaire à la fois pour encourager l'IA et gérer les risques associés, mais il s'agit d'un défi. Un autre sujet émergent est la réglementation des algorithmes de blockchain et il est associé à la réglementation des algorithmes d'IA. De nombreux pays ont adopté des réglementations sur les échanges à haute fréquence, qui évolue en raison des progrès technologiques vers le domaine des algorithmes d'IA. La motivation pour la régulation des algorithmes est l'appréhension de perdre le contrôle sur les algorithmes, dont l'impact sur la vie humaine augmente. Plusieurs pays ont déjà introduit des réglementations en cas de calcul automatisé du pointage de crédit - le droit à l'explication est obligatoire pour ces algorithmes . Des problèmes de partialité, de transparence et d'éthique sont apparus en ce qui concerne l'utilisation d'algorithmes dans divers domaines allant de la justice pénale aux soins de santé beaucoup craignent que l'intelligence artificielle ne reproduise les inégalités sociales existantes selon la race, la classe, le sexe et lignes de sexualité. La regulación de algoritmos, o control algorítmico, es la creación de leyes, reglas y políticas del sector público para promover y regular los algoritmos, particularmente en aprendizaje automático e inteligencia artificial.​​ Para la regulación de los algoritmos de inteligencia artificial (IA), se emplea el término regulación de la inteligencia artificial. En el ámbito normativo y político, la inteligencia artificial es objeto de debate en jurisdicciones de todo el mundo, incluida la Unión europea.​ La regulación de la IA es considerada necesaria, tanto para fomentar la misma como para controlar sus riesgos asociados, pero es complicada.​ Otro tema de actualidad es la regulación de blockchain, y su relación con el control algorítmico.​ La principal motivación para la regulación de algoritmos es el recelo de perder el control sobre los mismos,​ cuyo impacto en la vida humana incrementa cada vez más. Múltiples países ya han introducido regulaciones para los algoritmos de cálculo automático de puntuación de crédito, ya que el derecho a defenderse es obligatorio en los mismos.​​ Han surgido preocupaciones con respecto al sesgo, la transparencia y la ética en el uso de algoritmos en distintos ámbitos, desde la justicia criminal​ hasta la sanidad,​ ya que muchos temen que la inteligencia artificial pueda replicar desigualdades sociales ya existentes, como por ejemplo las observadas en raza, género, clase social, y sexualidad.​​​ Regulation of algorithms, or algorithmic regulation, is the creation of laws, rules and public sector policies for promotion and regulation of algorithms, particularly in artificial intelligence and machine learning. For the subset of AI algorithms, the term regulation of artificial intelligence is used. The regulatory and policy landscape for artificial intelligence (AI) is an emerging issue in jurisdictions globally, including in the European Union. Regulation of AI is considered necessary to both encourage AI and manage associated risks, but challenging. Another emerging topic is the regulation of blockchain algorithms (Use of the smart contracts must be regulated) and is mentioned along with regulation of AI algorithms. Many countries have enacted regulations of high frequency trades, which is shifting due to technological progress into the realm of AI algorithms. The motivation for regulation of algorithms is the apprehension of losing control over the algorithms, whose impact on human life increases. Multiple countries have already introduced regulations in case of automated credit score calculation—right to explanation is mandatory for those algorithms. For example, The IEEE has begun developing a new standard to explicitly address ethical issues and the values of potential future users. Bias, transparency, and ethics concerns have emerged with respect to the use of algorithms in diverse domains ranging from criminal justice to healthcare—many fear that artificial intelligence could replicate existing social inequalities along race, class, gender, and sexuality lines.
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