The main privacy issues surrounding AI are potential data breaches and unauthorized access to personal information. Because so much data is collected and processed, there is a risk of it falling into the wrong hands, whether because of hacking or other security breaches. The ramifications of generative AI programs, such as ChatGPT, will continue to emerge over the next decade. Without a clear strategy that focuses on privacy, companies can put their profitability and reputation at risk.
AI processing uses huge amounts of data, and some of it could be sensitive personal information. Through analysis, some of them could be used for identification purposes. When data has been anonymized, there is also a risk that it will be de-anonymized (possibly by AI) or that, to begin with, it will not be sufficiently anonymized.
Privacy legislative proposals that address these issues do not address artificial intelligence anonymously.
AI can be a powerful asset, but it can also pose a threat to privacy and data security, as well as regulatory issues, especially as artificial intelligence evolves.Generative AI refers to a subset of artificial intelligence that uses patterns and examples from existing data sets to generate new data and information. This report from the Brookings Institution's Initiative on Artificial Intelligence and Emerging Technologies (AIET) is part of the “Governance of AI” series, which identifies the main regulatory and governance issues related to AI and proposes policy solutions to address the complex challenges associated with emerging technologies.
