Overview
Aleksandr Tiulkanov, an AI policy, regulation, and legal framework specialist, suggests that to ensure the safety of people when training AI systems, developers must anonymize and pseudonymize data, and invest in technical and organizational measures. Tiulkanov adds that implementing safeguards in place can prevent negative consequences while scraping publicly available data sets, ensuring no one is targeted. Tiulkanov believes that AI policy should focus on inappropriate use of data, such as defamation, copyright, and IP protection and not just imitation.