Please wait ...
0% Complete
Home
/
11th International Symposium on Telecommunication (IST'2024)
Examining the legal challenges and loopholes of artificial intelligence by considering the upstream documents of the country
Authors :
Mohammad Hadi Bokaei
1
Elham Rafati
2
Davood Heidari Kani
3
Farbod Rabizadeh Fard
4
Ali Derakhshani
5
Iman Derakhshani
6
Nooshin Bodaghi
7
Reza Baderestani
8
Neda Nedaei
9
1- Artificial Intelligence Innovation Development Group Communication and Information Technology Research Institute Tehran, Iran
2- Artificial Intelligence Innovation Development Group Communication and Information Technology Research Institute Tehran, Iran
3- Artificial Intelligence Innovation Development Group Communication and Information Technology Research Institute Tehran, Iran
4- Artificial Intelligence Innovation Development Group Communication and Information Technology Research Institute Tehran, Iran
5- Artificial Intelligence Innovation Development Group Communication and Information Technology Research Institute Tehran, Iran
6- Artificial Intelligence Innovation Development Group Communication and Information Technology Research Institute Tehran, Iran
7- itrc
8- itrc
9- itrc
Keywords :
artificial intelligence،challenges،gaps،legal issues،legal requirements
Abstract :
In this article, the challenges and loopholes of laws in the world have been examined first. Issues that are generally challenging in the field of artificial intelligence and require risk management have been investigated. Based on this, some of the most important challenges and risks include the lack of algorithmic transparency - the lack of the possibility of protest - unfairness, bias and discrimination - liability for damages, etc. Also, due to the importance of artificial intelligence, the challenges related to this issue have also been investigated and studied. And finally, for the policies extracted from the previous phase of the project, legal criteria have been determined to evaluate these policies. Each of these legal criteria has been adapted to the obtained policies based on legal dimensions and aspects. The purpose of this process was to determine the legal loopholes in the above-mentioned documents based on the subject of artificial intelligence. For improvement and high accuracy, as well as for better analysis on the criteria that were adapted to the extracted policies, the data has been aggregated in an Excel file. For this purpose, the multiplicity of legal criteria in each of the legal dimensions related to each document was specified. Also, at the end, each of the documents is weighted based on the importance of connection with technology and the up-to-date ness of the subject in relation to the field of artificial intelligence. Based on the obtained analysis, the legal gaps in the documents related to artificial intelligence have been identified. Therefore, according to the rapid process of artificial intelligence, legal loopholes in the formulation of laws should be considered more sensitively.
Papers List
List of archived papers
Multi-Level Deep Reinforcement Learning-based Edge Caching Strategies in Vehicular Networks
Taban Soleymani - Nasser Yazdani - Seyed Pooya Shariatpanahi
Wide-Band Dual-Polarized BTS Antenna Using Crossed-Dipole with Parasitic Elements
Hamid Zakerifar - Javad Nourinia - Changiz Ghobadi
LLM Performance Assessment in Computer Science Graduate Entrance Exams
Arya VarastehNezhad - Reza Tavasoli - Mostafa Masumi - Fattaneh Taghiyareh
A Hybrid Local Linear Neuro-Fuzzy Model For Digital Transformation Scenario Analysis
Mehdi Fasanghari
Detection and Classification of Stuttering from Text
Fateme Moghimi - Mehran Yazdi
Optimum Patch Selection for Wideband Planar Spoof Surface Plasmon Polaritons Ku-Band Satellite Receive Antenna
Mahdi Siasifar - Asghar Keshtkar - Shervin Amiri
Insurance of liability for self-driving cars
Hussein Taleb - Mohammad Hadi Bokaei - Davood Heidari kani - Farbod Rabizadeh Fard - Elham Rafati - Neda Nedaei
Deep Reinforcement Learning-Driven Resource Allocation for Enhanced Performance in Multiple Access Networks
Mehran Kakavand - Mina Baghani - Hassan Yeganeh - Reza Bahri
Decentralized Federated Deep Reinforcement Learning Framework for Energy-Efficient Base Station Switching Control
Narges Movahed - Reza Shahbazian
Analyzing the Challenges of Applying Artificial Intelligence in the Field of Employment and Offering Solutions to Improve Skills and Workforce Training
Azam sadat Mortazavi Kahangi - Hassan Yeganeh - Anita Hadizadeh
more
Samin Hamayesh - Version 44.9.0