The FDA is also working toward building out a set of regulations and guidance surrounding AI in relation to the privacy and security of medical devices. In September 2021, the FDA recentlyreleasedits “Artificial Intelligence and Machine Learning Software as a Medical Device Action Plan,...
Based on privacy calculus theory, we derive hypotheses on the role of perceived usefulness and privacy risks of artificial intelligence (AI) in public services. In a representative vignette experiment (n=1,048), we asked citizens whether they would download a mobile app to interact in an AI-...
Artificial Intelligence: Risks to Privacy and DemocracyA "Democracy Index" is published annually by the Economist. For 2017, it reported that half of the world's countries scored lower than the previous year. ThisManheim, Karl M, Lyric KaplanSocial Science Electronic Publishing...
People are gradually paying more attention to privacy protection as the increasing number of such incidents indicates the seriousness of the personal information leakage problem and the intensification of privacy risks. This paper analyzes data security issues and metrics for privacy protection in ...
its potential. In this talk, I will present my works addressing these challenges with two goals: (1) ensuring the security, privacy, and ethical standards of AI-based systems, and (2) mitigating risks from generative...
The increased technical complexity and expanded scale of data usage not only make it more difficult to regulate AI but also present challenges for the current legal system. This article, which takes ChatGPT's training data and working principles as a starting point, examines specific privacy risks...
other similar platforms have implemented measures to address these concerns, users should still be cautious about the data they share and the interactions they have with these platforms. Ultimately, it is up to individuals to make informed decisions about the risks and benefits of using AI ...
FL does not solve all possible privacy issues, and, similar to ML algorithms in general, it will always introduce some risks. Privacy-preserving techniques for FL provide a level of protection that exceeds current commercially available ML models [50]. However, there is a trade-off in performan...
Artificial IntelligenceGenerative AIMachine LearningThe integration of large language models into many third-party products and applications present many unknown security and privacy risks. Here’s how to address them. Credit: Thinkstock Since the proliferation of large language models (LLMs), like Op...
Privacy Risks of AI AI utilizes various data collection techniques, including web scraping, for the automatic capture of both public and personal data. Commonly employed biometric technologies such as fingerprinting and facial recognition contribute to this process. Additionally, real-time dat...