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. One of the main concerns of artificial intelligence is its potential to replicate, reinforce or amplify harmful biases. These biases can proliferate depending on the nature of the data collection that is carried out, a process that can also lead to problems such as the indirect effects introduced in a previous paragraph.
Not being aware of the compliance requirements of artificial intelligence systems that derive from privacy regulations poses a risk not only to the people affected. Companies can face heavy fines and even the forced deletion of data, models and algorithms. It's also sometimes referred to as augmented intelligence to highlight its ability to improve (but not necessarily replace) human intelligence. Microsoft supports the Brookings Institution's Artificial Intelligence and Emerging Technology Initiative (AIET), and Amazon and Intel provide general and unlimited support to the Institution.
It can be argued that intelligent companies are looking for ways for technology to help them achieve their strategic objectives, and the creation of artificial intelligence systems, while still incipient, may be suitable for some use cases. One of the challenges of protecting privacy in artificial intelligence concerns how to create adequate regulations that protect privacy without stifling advances in artificial intelligence technology. In this summary, I look at some potential issues related to artificial intelligence and privacy, such as discrimination, ethical use and human control, as well as the policy options being discussed. In contrast, the concept of artificial general intelligence (AGI) refers to a level of intelligence in multiple fields.
As artificial intelligence evolves, the ability to use personal information in ways that may interfere with privacy interests increases, elevating the analysis of personal information to new levels of power and speed. 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. Privacy legislative proposals that address these issues do not address artificial intelligence on their own. Human beings, on the other hand, have the capacity to be intelligent in a variety of areas and can learn intelligence in new fields through experience and observation.
Artificial intelligence (AI), in its simplest form, is a subfield of computer science whose goal is to create programs that can perform tasks that are generally performed by human beings. As Congress studies comprehensive privacy legislation to fill the widening gaps in the current federal and state privacy landscape, it will need to consider whether and how to address the use of personal information in artificial intelligence systems. Artificial intelligence has been no different from the point of view of privacy from the point of view of design, since privacy has not been a priority in the development of AI technologies. Based on the idea of AGI, artificial superintelligence is often considered as an AI that is both general and exceeds human levels of intelligence.
