Buying coke Derna

__________________________

📍 Verified store!

📍 Guarantees! Quality! Reviews!

__________________________

▼▼ ▼▼ ▼▼ ▼▼ ▼▼ ▼▼ ▼▼

▲▲ ▲▲ ▲▲ ▲▲ ▲▲ ▲▲ ▲▲

Buying coke Derna

Email or phone Password Forgot account? Create new account. It looks like you were misusing this feature by going too fast. Forgot account?

JavaScript is disabled

Buying coke Derna

Artificial intelligence brings a fresh set of procurement challenges. And it seems like every agency is buying it in one form or another. The White House last month issued guidance on what it calls responsible acquisition of AI. Joining the Federal Drive with Tom Temin with the implications for intellectual property and who owns what, Haynes Boone procurement attorney Dan Ramish. Tom Temin Dan, this update with which was late September, that actually supersedes an earlier memo on the same topic. It supplements it, it expands on it and builds on it. So this new memo M focuses on acquisition of artificial intelligence by government agencies and expands on the earlier memo, talks about cross-functional collaboration and interagency collaboration around AI, which has been a big theme. Download today! Tom Temin And when you are acquiring. I guess maybe we should start with what are you actually acquiring? Because in some cases you are basically buying the services of an algorithm and you produce your own results, but you could also, in other cases, be buying a software application. So is that part of the complication here? Dan Ramish Well, so the memo talks about agency procurement of AI systems and services. Services suggests procurement of AI on a you know, as a service model, which is a common method of software delivery these days. Certainly an AI system, you would think more of a software application that the government would obtain maybe through the cloud the way things are delivered these days. Tom Temin And so what is unique here with respect to intellectual property, I guess, is the question? Dan Ramish Well, Tom, there are a number of specific considerations that arise in the context of AI that were raised in the earlier memo. And this new memo talks more about them. So the earlier memo simply pointed out that procurement of AI has to be consistent with applicable intellectual property, law, regulation and policy. So recognizing that AI procurement occurs within the broader legal context, both the legal context that applies to all intellectual property and also the government procurement, legal context, the Bayh-Dole Act for patents and the technical data statute and the technical data and computer software rights regulations. Incidentally, general intellectual property law in the United States is still trying to figure out AI and a number of features of AI. So there are legal questions about whether copyrightable material can be used to train AI without running afoul of the copyright law, whether creations of an artificial intelligence system can be protected through copyright or through patent. But then you throw in some special considerations when the government is the one buying the AI. So the government is recognizing increasingly in both of these memos that data is really an asset that the federal government has a lot of unique data that no one else has and a volume of data that is valuable. So treating data as an asset is one of the themes of both the prior memo and this memo from OMB talking about handling of data and data improvements, cleaning and labeling to treat it as a critical asset so that can be used in in AI training and operations moving forward. Tom Temin Data also then applies to what is produced by the AI. Tom Temin We are speaking with Dan Ramish. And it sounds like these concerns are commercial and governmental for anyone buying AI. Does the government have any unique concerns here that are addressed in this memo? Dan Ramish Absolutely, Tom. So two categories of AI that were addressed, particularly in the prior memo, the memo, were safety impacting and rights impacting AI, as you can imagine. There are particular concerns about how an eye goes through any decision making process that could affect the legal rights of people. And the other major bucket is safety impacting air, which has some implications for human safety or health, or where if something goes wrong, it could cause injury or other harm. Read more: Artificial Intelligence. Tom Temin Sure. Well, I guess the question becomes how should government and how should I contractors or contractors using air proceed? I mean, what are some of the best practices, if we have them at this early stage in this whole evolution? Dan Ramish So this new memo really takes a strong line in encouraging agencies to plan ahead and avoid vendor lock in as they refer to it. But in some cases the memo goes significantly further in talking about requiring vendors to transfer knowledge to agency staff to allow them to essentially transfer the A. Again, their interests on both sides. But at the same time, the contractor has interests in their own proprietary intellectual property and that may be the very foundation of their whole business, right? Tom Temin So then you really have to negotiate carefully and it sounds like almost that you need a specialized approach for AI, at least until this becomes normalized and that could be years. Tom Temin In some ways, the acquisition as a head of the whole intellectual property framework. Well, if you and I both dump the same documents into the same algorithm and it produces the exact same thing, then who can copyright that? Or if we both dump the same thing in and something else has happened in between and it produces different results, Can that be copyrighted? And along with that, there are other concerns that arise. And so one of the recommendations that the memo makes for agencies is to conduct careful due diligence to the supply chain of the vendors data. They need to understand whether the training data could include any sources of bias or quality problems that could call into question whether the decision affecting rights or safety was proper. Also, there are cybersecurity concerns when it comes to training data, which the memo mentions need to understand, evaluates the data used in model training and the models so they can understand the AI risks such as data poisoning, which is cybersecurity attacks, the training data or also data leakage, unintentional exposure of sensitive data that was used to train a model. But on the intellectual property front, the rule then is be specific and make sure the contractor and you as the agency have the exact same understanding before you sign anything. Want to stay up to date with the latest federal news and information from all your devices? Download the revamped Federal News Network app. Well, thank you for outlining what sounds like a really complicated quagmire area for people to be careful of. AI may be the next major procurement category for the federal government. Subscribe to the Federal Drive wherever you get your podcasts. All rights reserved. This website is not intended for users located within the European Economic Area. Tom Temin is host of the Federal Drive and has been providing insight on federal technology and management issues for more than 30 years. Follow tteminWFED. Artificial Intelligence. Tom Temin Tom Temin is host of the Federal Drive and has been providing insight on federal technology and management issues for more than 30 years. Sign up for breaking news. Related Stories. How AI can help federal agencies make the most of limited budgets. It plans to triple that by Army modernization from the technology point of view. Related Topics. Upcoming Events. How AI can help federal agencies make the most of limited budgets Commentary. It plans to triple that by Agency Oversight. Army modernization from the technology point of view Army. Top Stories. More than 5, federal personnel are responding to Helene's devastation Management.

Buying coke Derna