Booz Allen Hamilton’s Post

Artificial intelligence is not the panacea of everything that’s wrong, but it is driving a technical digital revolution in national defense and security and should have us assessing it just like we did in the late 1920s and 30s with the advent of nuclear energy. I believe we are late to the game on this assessment and are now having to play catch-up, particularly as a compares to China and others. I offer the most recent DHS assessment of the implications of artificial intelligence and machine learning as a great example of this.

At GovPro, we are big supporters of the defense community. Because of this, we are looking forward to an upcoming event. The AFCEA International's Small Business Community has invited Alexander Cohen to discuss the future of proposals and AI. Alex's background is in government contracting and acquisition policy, and he will talk about the role AI plays on both sides of the acquisition lifecycle. If you are interested, you can register here: https://lnkd.in/gJidDUA2 #govcon #proposalmanagement #ai

Greetings from Relativity Fest! We're here in Chicago demonstrating the capabilities of Protect Analytics AI™ - your next innovative solution for navigating through complex, unstructured datasets, especially those infused with sensitive materials like PII, PHI, technical data, and various entities. Please stop by our booth at Fest today for a demo and see how HaystackID can help empower your organization to classify and manage sensitive data effectively. Learn more about Protect Analytics AI at https://bit.ly/3rl7dlb. #eDiscovery #LegalOps #LegalTech #RelativityFest

As artificial intelligence continues to shape the landscape of federal operations, government contractors are actively supporting agency initiatives. Check out the thoughts of Tom Oliver of General Dynamics Information Technology on AI Policy in Government.

Excellent observations about how the old problem of screener bias is appearing in new forms. Every time we apply a screener that has not been assessed for reliability and validity, we are biasing a sample in unknown ways. Excessive and biased screening may occur when: we know our research methods are not robust; we're afraid of colleagues challenging results; and/or we know a sample source is flawed and hope to rescue it. Better: learn broadly and use a combination of validated screening and robust analysis.

🚨Three reasons why you must read our latest Greenbook article, co-authored by Dan Wasserman and yours truly👏 ⏰It's a wake-up call that there is a significant cost to disqualifying the 'best' participants. ⚠️It's a warning to use AI detection tools cautiously when assessing open-ended responses. 🚀It’s a collab! I am absolutely delighted to have collaborated with #mrx AI-guru Dan Wasserman on this. If you haven't read Priscilla McKinney's book "Collaboration is the New Competition," it might just spark your own collab! 💃 Link to the article in the comment below 👇 #surveys #dataquality

How reliable is AI-generated information?

How did AI impact campaigns this past year and what did we learn to take into '24? Join our panelists as they discuss Navigating the Wild West of Digital Politics: The Use Cases, the Lessons and the Cautionary Tales From a Year of Artificial Intelligence and Campaigns at CampaignTech Innovation Summit on December 12. See the full conference agenda here: https://lnkd.in/dskXaFY

Exciting news! The recording of our recent webinar on the use of AI in modern business is now live. Check it out and stay ahead of the game! Have questions? Send us a message! https://lnkd.in/g_YusmHD

Missed our webinar on AI in modern business? Watch the recording now and reach out with any questions. Stay informed and ahead of the game!