AI Privacy

Extracted Attributes

• Core Concern

  AI systems may reveal or amplify biases present in training data

• Key Risk Areas

  Data collection, cybersecurity, model design, and governance

• Clearview AI Data Source

  Over 20 billion images collected from the internet, including social media applications

• Regulatory Framework (EU)

  EU AI Act (risk-based framework for AI governance)

• Clearview AI Primary Users

  Law enforcement and other government agencies

• Regulatory Framework (US - State)

  Utah Artificial Intelligence and Policy Act

• Regulatory Framework (US - Federal)

  White House OSTP 'Blueprint for an AI Bill of Rights' (non-binding)

• Key Principle (Blueprint for an AI Bill of Rights)

  Encouraging individuals' consent on data use

Timeline

• Clearview AI's usage by law enforcement was first reported, bringing the company into public scrutiny. (Source: Wikipedia)

  2019-MM-DD

• 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-MM-DD

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

  2022-MM-DD

• The White House Office of Science and Technology Policy (OSTP) released its 'Blueprint for an AI Bill of Rights,' a non-binding framework outlining principles for AI development, including data privacy. (Source: Web Search)

  2022-MM-DD

• Utah enacted the Artificial Intelligence and Policy Act, considered the first major state statute in the U.S. to specifically govern AI use. (Source: Web Search)

  2024-03-MM

• Apple announced Apple Intelligence, a new suite of AI features, and a partnership with OpenAI to integrate ChatGPT functionality, sparking public debate about AI privacy, notably from Elon Musk. (Source: Related Documents)

  2024-06-MM

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

• Privacy in an AI Era: How Do We Protect Our Personal Information?

  First, AI systems pose many of the same privacy risks we’ve been facing during the past decades of internet commercialization and mostly unrestrained data collection. The difference is the scale: AI systems are so data-hungry and intransparent that we have even less control over what information about us is collected, what it is used for, and how we might correct or remove such personal information. For example, generative AI tools trained with data scraped from the internet may memorize personal information about people, as well as relational data about their family and friends. They thought, “I don't know if I care if these companies know what I buy and what I'm looking for, because sometimes it's helpful.” But now we've seen companies shift to this ubiquitous data collection that trains AI systems, which can have major impact across society, especially our civil rights.

• AI and Privacy: Shifting from 2024 to 2025 | CSA

  The European Union (EU) continues to assert its position as a global leader in privacy and AI regulations, with GDPR providing a strong foundation and the now newly effective EU AI Act setting a risk-based framework for AI governance. Initiatives like the EU-US Data Privacy Framework aim to streamline data transfers for businesses leveraging AI across jurisdictions. Furthermore, combining these frameworks with the EU AI Act offers a structured approach to ensuring compliance with privacy and AI regulations while effectively managing risks for long-term success. * **Enhance Data Privacy Governance** by implementing robust controls to protect personal data processed by AI systems and ensure compliance with global privacy regulations.

• Exploring privacy issues in the age of AI

  Cost of a Data Breach Report 2025 AI is becoming a security risk. We can often trace AI privacy concerns to issues regarding data collection, cybersecurity, model design and governance. Examples include the California Consumer Privacy Act and the Texas Data Privacy and Security Act. In March 2024, Utah enacted the Artificial Intelligence and Policy Act, which is considered the first major state statute to specifically govern AI use. However, in 2022 the White House Office of Science and Technology Policy (OSTP) released its “Blueprint for an AI Bill of Rights.” The nonbinding framework delineates five principles to guide the development of AI, including a section dedicated to data privacy encouraging AI professionals to seek individuals’ consent on data use.

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

  # AI and Personal Data: Balancing Convenience and Privacy Risks 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. * **Limited Access to Personal Data:** Users often have no visibility into what data has been collected about them by AI agents. AI technologies collect and process an enormous amount of data including personal information, from facial and voice recognition to web activities, and location data. ### How Velaro is addressing privacy challenges posed by AI systems to protect personal data As a company providing AI-powered customer engagement solutions, at Velaro we recognize and understand the importance of protecting personal data from misuse.

• Top AI and Data Privacy Concerns

  * **Data ingestion.**  AI models require massive data sets for training, and the data collection stage often introduces the highest risk to data privacy, especially when sensitive data, such as healthcare information, personal finance data, and biometrics, is included. * **Inference engine.** The inference stage is when the trained AI model is used to generate insights or predictions from new data.Privacy risks emerge here becauseAI systems can make highly accurate inferences about individuals based on seemingly harmless, anonymized inputs, or they may reveal or amplify biases that existed in the training data. As AI adoption accelerates, governments are creating or updating laws to address the data privacy risks associated with AI systems, especially those that use or store personal or sensitive data.