Conference Agenda

The rapid growth of artificial intelligence (AI) technologies has sparked significant transformations across various sectors, necessitating urgent legislative responses to mitigate their societal impact and safeguard human rights. Leading here is the European Union (EU), with its landmark regulations such as the General Data Protection Regulation (GDPR), the EU AI Act, and the Framework Convention on Artificial Intelligence (Council of Europe), which serve as critical measures. These frameworks prioritize high-risk AI applications while fostering transparency, accountability, and ethical standards. This paper explores AI and legislation research trends, focusing on human rights protection, through bibliometric analysis of 2,590 academic documents indexed in the Scopus database up to October 2024. Results reveal exponential growth in scholarly interest since 2020, yet gaps persist in addressing marginalized communities and global equity. Key themes include privacy and data protection, algorithmic bias and non-discrimination, and accountability and transparency. This study informs academic and policymaking communities by identifying research gaps and emphasizing the need for robust, rights-focused frameworks in AI regulation.

AI has entered into all facets of the government decision-making process. Governments too recognize the transformative potential of the AI in enhancing efficient DM through informed and evidence-based policies. Policy maker’s traditional method of manual analysis is replaced with more accurate prediction and informed choice. Not only AI has contributed in routine automated labor-intensive tasks, but concentrated on complex societal challenges. It helped the civil servants to focus on much higher strategic planning and analysis. This paper will explore the potential benefits, considerations in adopting AI tools & ethical concerns of the AI’s intervention into the public policy decision-making process and how Artificial Intelligence is transforming public sector and government processes, improving citizen services and efficiency to optimize administrative procedures, enhance decision-making through data-driven perspectives, and develop flexible, citizen-focused services how Artificial Intelligence promotes innovation in the provision of public services by enabling smarter governance.

The use of AI in the public antitrust enforcement sector could promote the effectiveness and precision of the activity of the competition administrative authorities. The problem of collecting evidence, especially in the repression of cartels, is to identify parallel phenomena that may not be easily visible "to the naked eye". Through AI it could therefore also be discovered if and when the use of "connected" algorithms by competing companies could encourage anti-competitive conduct. Furthermore, through AI the Authority could improve control over the correctness of competitive conduct in the public procurement sector. That is, it would be possible to immediately perceive whether the set of data and offers from the participants in the tender is the possible result of a collusive agreement. It is important to underline that this type of use does not affect the discretion of the Authority, but is placed in a position prior to the decision. Therefore, it is a use which, despite being able to solve many problems and increase the effectiveness of enforcement, does not affect human dominion in the intimate discretionary choice