This guide, published by the Future of Privacy Forum, explains the basics of artificial intelligence and machine-learning systems and addresses the privacy concerns and challenges associated with the implementation of these systems into new and existing products and services.
The Privacy Expert’s Guide to AI and Machine Learning
Approved
CIPM, CIPP/A, CIPP/C, CIPP/E, CIPP/G, CIPP/US, CIPT
Credits: 3
Related Stories
Datatilsynet Report – Artificial intelligence and privacy
In this report the Norwegian data protection authority elaborates on the legal opinions and the technologies described in the 2014 report Big Data – data protection principles under pressure. In this report, the DPA provides greater technical detail in describing artificial intelligence, while also ...
White Paper – Building Ethics into Privacy Frameworks for Big Data and AI
(October 2018) – This report provides an overview of how organizations can operationalize data ethics, drawing on the discussions at the UN GP/IAPP event as well as on additional research about data ethics and privacy best practices in a world of big data analytics....
CNIL Report – The ethical matters raised by algorithms and artificial intelligence
The French data protection authority, the CNIL, released this report which identifies ethical concerns raised by algorithms and artificial intelligence, as well as possible solutions for addressing them....
Ethically Aligned Design: A Vision for Prioritizing Human Wellbeing with Artificial Intelligence and Autonomous Systems
IEEE published this document to advance a public discussion of how artificial intelligence and autonomous systems can be aligned to moral values and ethical principles that prioritize human wellbeing....