AI in Data Privacy

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Data Privacy concerns individuals and our society regarding safeguarding their personal information. But, most recently, AI has presented opportunities and challenges to the field.

So, what are the challenges AI has regarding data privacy? Because artificial intelligence systems use complex computer programs, they risk the privacy of both persons and organizations. As AI develops, it can make judgments based on minute patterns in data that are hard for people to see. This implies that people cannot even be aware that decisions affecting them are being made using their personal data. One of the main issues is the potential for AI to be exploited to violate privacy. Massive amounts of data are needed for AI systems. If this data ends up in the wrong hands, it could be exploited for criminal activities such as identity theft or cyberbullying.

An example of this would be AI surveillance systems; these systems use algorithms to analyze massive volumes of data from many sources, such as cameras, social media, and other online sources. This enables security and law enforcement organizations to monitor people and detect illegal action before it happens. Although using AI-based surveillance systems to combat crime and terrorism may seem like a good idea, it poses issues with civil liberties and privacy.

When designing and implementing AI systems, organizations and businesses using AI must give ethical and privacy concerns first priority. This involves upholding data security, being open and honest about data collection and use, conducting frequent audits to check for bias and prejudice, and developing AI systems that follow moral guidelines. Businesses that put these factors first are more likely to gain the trust of their stakeholders, protect their reputation, and cultivate positive relationships with consumers.

In response to AI’s challenges, privacy laws are continuing to evolve. The General Data Protection Regulation (GDPR) is the most influential legal framework worldwide for ensuring data privacy. It is currently hoping to lead regulations for using AI in confidentiality. In the US, the California Consumer Privacy Act (CCPA) is the most comprehensive privacy law, giving Californians the right to know what personal information companies collect and request deletion.

Sources

https://www.thedigitalspeaker.com/privacy-age-ai-risks-challenges-solutions/

https://techwireasia.com/01/2024/data-privacy-week-the-role-of-ai-in-privacy/

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About Author

Computer Science major at Fordham University. Working in the Office of Information Technology as an IT Risk Analyst Assistant.

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