In an interview with WIRED, CEO Hoan Ton-That said the company has scraped 10 billion photos from the web—and developed new ways to aid police surveillance.
machine learning
The Federal Trade Commission is punching right at the heart - and guts - of how data collection drives revenue for tech firms: their algorithms.
This whitepaper shows that in fact machine learning (ML) and data protection requirements, including principles like data minimization, are compatible.
Immuta and the Future of Privacy Forum (FPF) released a working white paper, Data Protection by Process: How to Operationalise Data Protection by Design for Machine Learning , that provides guidance on embedding data protection principles within the life cycle of a machine learning model. The paper provides clear instructions on how to fulfill the […]
Data collection is the most crucial part of machine learning models as the working of the model will completely depend on the data which we push as training. Knowing what you really want to do with your data and more basically its purpose to serve your specific project is a very crucial part. You should […]
Digital governance is corporate oversight of technologies that use personal or sensitive information, make autonomous decisions or exercise human-like responsibilities. The concept addresses disruptive technologies including artificial intelligence (AI), connected devices (IoT, cars, ubiquitous sensors, etc), and machine learning. To establish digital governance programmes, companies must: first structure themselves accordingly, have a full picture of […]
Artificial intelligence and machine learning present unique challenges for protecting the privacy of personal data. For this reason, policymakers need to craft new national privacy legislation that accounts for the numerous limitations that scholars have identified in the notice and consent model of privacy that has guided privacy thinking for decades. The exacerbation of privacy […]
Advanced algorithms, machine learning (ML), and artificial intelligence (AI) are appearing across digital and technology sectors from healthcare to financial institutions, and in contexts ranging from voice-activated digital assistants, to traffic routing, identifying at-risk students, and getting purchase recommendations on various online platforms. Full article: Artificial Intelligence: Privacy Promise or Peril?
Dozens of senior policymakers who are trying to agree on rules for artificial intelligence gathered at M.I.T. There was even some consensus. Full article: How Do You Govern Machines That Can Learn? Policymakers Are Trying to Figure That Out – The New York Times
Machine learning and artificial intelligence can help guard against cyberattacks, but hackers can foil security algorithms by targeting the data they train on and the warning flags they look for. Read article: AI for Cybersecurity Is a Hot New Thing — and a Dangerous Gamble