We have a very robust data governance model at Microsoft whereby we recognize and are able to attribute and mark data and appropriately protect it. In areas where we need subcontractors, we use a very limited set.
A lot of adjudication occurs before we select our subcontractors, and they must enter into agreements with us to maintain the privacy of the data they are safeguarding. We have strict rules around the use of that data and the return of that data to us. We have a very robust program of policies, procedures and technical safeguards around subcontractor use to ensure that data isn't misused.
Artificial intelligence is an area of key interest to us, and certainly Satya Nadella, in his book Hit Refresh, has put together principles around the responsible use of AI to empower people. It's really the first principle. We've embraced them within our organization, ensuring that we have a robust governance structure around AI. We have a committee that looks at application of AI both inside and outside the organization to make sure we use it responsibly.
Putting these pieces in place internally helps us better manage and understand how those tools are being used and put them in place in an ethical framework. We're quite pleased that we're working with governments around the world, be they the EU with their AI ethics work or the recent OECD guidelines, or even here in Canada with the CIO Strategy Council's work on an AI ethics framework, so that we can help people and other organizations get a better sense of some of those responsible techniques, processes and governance models that need to be put in place.