Gartner Blog Network

Data in the News : Tax and Explainable AI

by Andrew White  |  June 2, 2020  |  Comments Off on Data in the News : Tax and Explainable AI

I saw two news articles today that emphasizes the role of data in our world. Both explore various public policy initiatives – one proposing a tax on data that would contribute to the monetization of data; the other on the regulation of AI algorithms to help explain their outputs.

A Tax on Data Could Fix New York’s Budget: A proposal to help generate revenue for a cash-strapped state government. If this were to pass, might the idea take off in other jurisdictions? Would this help reinforce that data has value that can be defined, counted and agreed? Might then firms put that value on the balance sheets?

Algorithms Used in Policing Face Policy Review: A congressional advisory group is developing a proposal to help regulate software used by federal law enforcement. Clearly this related to explainable AI – how can we be assured that the results of an algorithm can be quantified, qualified and general understood? The EU is working on this too.

Back in March in my blog The Value of Data I explored some white papers recently published on pending data and AI regulations in the UK and EU. It seems everyone is thinking about this. It is interesting that in some cases these proposals talk about data, sometimes it is the algorithm that is in scope. Of course, data, content, rules, models and algorithms are all data and a form of software – they are all forms of intangible assets. It is not so much that data is more important today – it’s is that intangible assets are more important then ever before.

Additional Resources

View Free, Relevant Gartner Research

Gartner's research helps you cut through the complexity and deliver the knowledge you need to make the right decisions quickly, and with confidence.

Read Free Gartner Research

Category: artificial-intelligence  data-and-analytics  data-as-an-asset  

Andrew White
Research VP
8 years at Gartner
22 years IT industry

Andrew White is a Distinguished Analyst and VP. His roles include Chief of Research and Content Lead for Data and Analytics. His main research focus is data and analytics strategy, platforms, and governance. Read Full Bio

Comments are closed

Comments or opinions expressed on this blog are those of the individual contributors only, and do not necessarily represent the views of Gartner, Inc. or its management. Readers may copy and redistribute blog postings on other blogs, or otherwise for private, non-commercial or journalistic purposes, with attribution to Gartner. This content may not be used for any other purposes in any other formats or media. The content on this blog is provided on an "as-is" basis. Gartner shall not be liable for any damages whatsoever arising out of the content or use of this blog.