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Accepted Papers
The Eu Artificial Intelligence Act Will Regulate the Worst Problems With Powerful Ai Models, but It Will Inevitably Fail to Solve the Overall Dilemma of Responsible Ai Usage

Anvita Datla, The Dickson Poon School of Law, King’s College London

ABSTRACT

The EU AI Act is the much-awaited document for regulating AI technologies. The risk-based approach of the act curtails the major problems that are predictable with technology. However, despite the seemingly robust measures taken by the EU AI act, it falls short of ensuring that AI is used responsibly. Responsible AI usage goes beyond the mitigation of immediate risks and requires comprehensive inclusion of ethical deliberation in the design and deployment of AI by ensuring transparency, privacy, non-discrimination, and the safety of society.

KEYWORDS

AI and Law, Biometric Systems, Healthcare Sector, Migration, Asylum and Border Control Management, Deepfakes.


Enhancing Iot Security Based on Artificial Intelligence

Wissal Lazraq1 and Soufiane Lahlali2, 1Department of Computer Science and Mathematics, ENSAK, Ibn Tofail University, Kenitra, Morocco, 2Department of Computer Science and Mathematics, ENSAK, Ibn Tofail University, Kenitra, Morocco

ABSTRACT

The intersection of the Internet of Things (IoT) and Artificial Intelligence (AI) represents a transformative advancement in technology, unlocking new capabilities and efficiencies across various sectors. This article explores the integration of Artificial Intelligence (AI) with the Internet of Things (IoT) and its pivotal role in enhancing IoT security. It highlights how AI-driven solutions such as anomaly detection, malware detection, secure data transmission through authentication, and access control which significantly bolster the security of IoT systems. By employing machine learning, deep learning, and advanced analytics, AI can detect and mitigate threats in real-time, ensure data integrity, and adapt to evolving security challenges. The article concludes that AI is essential for creating robust, resilient IoT ecosystems capable of withstanding sophisticated cyber threats.

KEYWORDS

Internet of Things, Artificial intelligence, Machine learning, Deep learning, Security.


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