AI systems work based on huge amount of various data from various resources. Exponential development and application of AI in all sections of society, especially, in economic sectors, has brought about many challenges on the legitimacy of collections and processing of data by AI. Data property, data privacy, data security and data monetization are among these challenges. In addition, Algorithmic bias and discrimination, Algorithmic transparency and accountability and civil and criminal liability arising out of AI outputs and Algorithmic decision-making, is under consideration in many legal systems. DatAI lab researches on this challenges and legal issues of AI systems, and, by using comparative studies on international and national initiatives on these challenges and issues, intends to propose appropriate and relevant legal framework for sound,effective and efficient working of AI systems in Iran.
- Data privacy and protection of personal data
- Data monetization/ commercialization
- Algorithmic bias and discrimination
- Civil and criminal liability arising out of AI and Algorithmic decision-making
- Reports on new legal challenges of data protection in digital economy and respective legal approaches
- Reports on new legal challenges of artificial intelligence and algorithmic decision-making and respective legal approaches
- Preparation of proposals for better policy, legislative and regulatory initiatives on data law and artificial intelligence to competent authorities
- Proposing legal framework for regulation of risks of data collection and processing, by contract, to digital business especially to AI systems
- Proposing legal framework for commercialization of data by digital business
The list of DatAI publications and the request portal may be accessed through the DatAI Persian page here.
Collaboration with DatAI
We welcome collaborations. No single discipline has all the answers needed to build DatAI, and we’ve found that many exciting new ideas come from dedicated collaboration between different fields. Learn more about collaboration terms.