#clinicaltrials #ai #machinelearning #transparency #dataintegrity | Moe Alsumidaie

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Clinical Trial Industry Advisor

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You can’t walk into a clinical research conference today without seeing AI everywhere—every booth, every pitch deck, every panel. But here’s the uncomfortable truth: too many of these tools are still black boxes. As Paul McCracken of RadiaNova Consulting put it, “You can’t just have answers arrive and assume that’s the truth.” The best sponsors are demanding gray boxes, not black ones—AI systems that can be interrogated, audited, and explained. Because in a regulated environment, transparency isn’t optional. Before you get wowed by a vendor’s “area under the curve,” ask: → How will this model perform on our data? → Can we see how decisions were reached? → What safeguards exist to detect bias or drift? AI in clinical trials will only earn trust when it’s explainable, not just impressive. What’s the right balance between innovation speed and algorithmic transparency in our field? Full interview: https://lnkd.in/dcZ7KwYr #ClinicalTrials #AI #MachineLearning #Transparency #DataIntegrity Paul J. McCracken, Ph.D. Yunu Lindsay Fleming Jeffrey Sorenson RadiaNova Consulting, LLC

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Transcript

These are really important points, particularly with the push for AI machine learning that we're seeing in the space. You can't go to a conference in our space without half of the tables leading with their AI capabilities. But from a practical perspective, you really need to consider, I call it a Gray box instead of a black box to what you can't just have answers arrive and assume that that's the truth. You need to be ability to interrogate the system to understand how certain decisions were made. Also to often these see really sort of sophisticated and. Exciting tools being presented, the freight areas under the curve showing how well they work, but that's in a very specific instance. You need to hold those vendors accountable for how will that work on our date? Very specifically, you need the ability to interrogate it. You need to understand how those decisions were arrived to and you need to really look at that entire process in a very transparent way.

Lauren Selikoff, graphic

Lauren Selikoff

Fractional CMO, CCO & Communications Advisor | Helping Leaders Build Credibility, Drive Growth & Turn Change Into Opportunity

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Sage advice! Every AI prompt needs to include citations and a virtual 'devil's advocate' to sit on AI's cyber shoulder...

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Moe Alsumidaie

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