19 Fortune 500 companies belonging to the Data and Trust Alliance (DTA), including IBM, Pfizer, and Nielsen, have proposed a new set of data provenance standards to establish a baseline for data quality that can be used in the development of artificial intelligence (AI) systems across various industries. As organisations increasingly turn towards AI models to perform various functions, the trustworthiness, security, and quality of data that goes into the system are essential in order to prevent "garbage in, garbage out" situations. The new "first of their kind" standards will help organisations discern the origins of data in a dataset, not only for AI systems but for traditional applications as well.
What is this page?
You are reading a summary article on the Privacy Newsfeed, a free resource for DPOs and other professionals with privacy or data protection responsibilities helping them stay informed of industry news all in one place. The information here is a brief snippet relating to a single piece of original content or several articles about a common topic or thread. The main contributor is listed in the top left-hand corner, just beneath the article title.
The Privacy Newsfeed monitors over 300 global publications, of which more than 4,350 summary articles have been posted to the online archive dating back to the beginning of 2020. A weekly roundup is available by email every Friday.
