AI privacy

Extracted Attributes

• Scope

  Applies to data collected, used, shared, or stored by AI systems across various sectors including healthcare, finance, and marketing.

• Definition

  The protection of personal data and information in the context of artificial intelligence (AI) systems.

• Core Principle

  Ensuring individuals have control over their personal data and that it is used in a responsible and ethical manner.

• Associated Risks

  Misuse or unauthorized access to personal data, privacy breaches, and challenges to traditional privacy principles.

• Proposed Safeguards

  Robust privacy measures, privacy-by-design architecture, ethical considerations, and legal certification of AI models.

Timeline

• Clearview AI's usage by law enforcement was first reported, bringing its controversial practices to light. (Source: Wikipedia)

  2019-12-01

• A data breach of Clearview AI revealed that 2,200 organizations across 27 countries had accounts with facial recognition search capabilities. (Source: Summary, Wikipedia)

  2020-01-01

• Clearview AI reached a settlement with the ACLU, agreeing to restrict its U.S. market sales of facial recognition services to government entities. (Source: Summary, Wikipedia)

  2022-01-01

• OpenAI CEO Sam Altman warned about the lack of AI privacy, prompting David Friedberg to suggest legal certification for AI models to protect user confidentiality. (Source: Related Document)

  2023-11-01

Clearview AI

Clearview AI, Inc. is an American facial recognition company, providing software primarily to law enforcement and other government agencies. The company's algorithm matches faces to a database of more than 20 billion images collected from the Internet, including social media applications. Founded by Hoan Ton-That, Charles C. Johnson, and Richard Schwartz, the company maintained a low profile until late 2019, until its usage by law enforcement was first reported. Use of the facial recognition tool has been controversial. Several U.S. senators have expressed concern about privacy rights and the American Civil Liberties Union (ACLU) has sued the company for violating privacy laws on several occasions. U.S. police have used the software to apprehend suspected criminals. Clearview's practices have led to fines and bans by EU nations for violating privacy laws, and investigations in the U.S. and other countries. In 2022, Clearview reached a settlement with the ACLU, in which they agreed to restrict U.S. market sales of facial recognition services to government entities. In 2020, a data breach of Clearview AI demonstrated 2,200 organizations in 27 countries had accounts with facial recognition searches.

Web Search Results

• AI Privacy: The Future of Personal Data Protection (AP Privacy)

  AI privacy refers to the protection of personal data and information in the context of artificial intelligence (AI) systems. With the increasing use of AI technologies in various sectors, such as healthcare, finance, and marketing, there is a growing concern about the privacy implications of these systems. AI privacy involves ensuring that individuals have control over their personal data and that it is used in a responsible and ethical manner. [...] In conclusion, AI privacy is a critical issue that requires attention and action from individuals, organisations, and governments. To protect your AI privacy, there are several steps you can take: 1. Be aware of the privacy policies and practises of the companies and organisations you interact with. Read privacy notices and terms of service to understand how your data will be used and shared. [...] The importance of AI privacy cannot be overstated. As AI systems become more advanced and capable of processing vast amounts of data, there is a greater risk of privacy breaches. AI algorithms have the potential to gather and analyse personal data, such as names, addresses, and financial information, which could result in misuse or unauthorised access. Therefore, it is crucial to establish robust privacy measures to protect individuals' rights and maintain public trust in AI technologies.

• Exploring privacy issues in the age of AI - IBM

  Privacy and compliance concerns notwithstanding, companies continue to deploy AI models to boost productivity and unlock value. Let’s take a closer look at the AI privacy risks and safeguards affecting society and commerce today. ## What is AI privacy? AI privacy is the practice of protecting personal or sensitive information collected, used, shared or stored by AI. [...] AI privacy is closely linked to data privacy. Data privacy, also known as information privacy, is the principle that a person should have control over their personal data. This control includes the ability to decide how organizations collect, store and use their data. But the concept of data privacy predates AI and how people think of data privacy has evolved with the advent of AI. [...] This particular risk, privacy risk, is especially prevalent in the age of artificial intelligence (AI), as sensitive information is collected and used to create and fine-tune AI and machine learning systems. And as policymakers rush to address the issue with privacy regulations around the use of AI, they create new compliance challenges for businesses using AI technologies for decision-making.

• A regulatory roadmap to AI and privacy - IAPP

  As artificial intelligence is poised to take over the world, it is raising a number of problems, many involving privacy. These are catalogued in the recently posted article draft, "Artificial Intelligence and Privacy." Understanding these issues and the overall relationship between AI and privacy is essential for determining how privacy law should regulate AI. [...] Understanding the privacy challenges posed by AI is essential. A comprehensive overview is necessary to evaluate the effectiveness of current laws, identify their limitations and decide what modifications or new measures are required for adequate regulation. "Artificial Intelligence and Privacy" develops a regulatory roadmap to AI and privacy, exploring the problems AI creates and the challenges it poses for the existing architecture of many privacy laws. [...] It is important to avoid "AI exceptionalism" — treating AI as if it were so unique that we are unable to see how its privacy problems are often outgrowths of existing privacy issues. The privacy problems associated with AI largely revolve around practices privacy laws have long dealt with, such as the collection and processing of personal data. To be effectively addressed, these privacy problems should be tackled holistically, not just in the context of AI. Rarely is there a magic line

• Artificial Intelligence and Privacy – Issues and Challenges

  While traditional notions of privacy may be challenged by AI, it is not a given that AI must undermine privacy by default; it is possible to envisage a future in which AI can help enable privacy. For instance, it is likely to mean that less people will actually need access to raw data in order to work with it, which could in turn minimise the risk of privacy breaches due to human error. It could also empower more meaningful consent, in which individuals receive personalised services dependent [...] Widespread use of AI will prompt us to change the way we apply traditional privacy principles – whether this is an improvement or a degradation on the standards of privacy protection however, remains to be seen. By considering privacy as a foundational element within an ethical framework for developing AI, there is potential for organisations to improve collection notice practices and enable individuals to have a more nuanced and informed interaction with organisations regarding the use – and

• The Impact of AI on Privacy: Protecting Personal Data - Velaro

  Artificial Intelligence technologies have transformed the way businesses operate, offering companies new levels of connectivity, efficiency, and convenience. However, the privacy risks of AI must not be ignored. As AI technologies become more advanced, so do the privacy risks they pose. Organizations must take a proactive approach to reduce these emerging privacy challenges and risks, implementing secure data protection principles, privacy-by-design architecture, and ethical considerations. [...] From virtual assistants to self-driving cars, artificial intelligence (AI) has become a part of our daily lives, making things more comfortable and convenient. But as AI technologies continue to advance, they also bring significant privacy risks that could lead to our personal data being compromised if AI is used without proper checks and balances. [...] Ultimately, safeguarding personal data from AI privacy challenges should be a top priority for companies today. With AI applications becoming increasingly abundant, taking the necessary steps to protect user data is essential for any business that wants to remain competitive in the digital future. ‍ ### How Velaro is addressing privacy challenges posed by AI systems to protect personal data