Flawed Discussions Nixes Award
Client Alert | less than 1 min read | 06.11.12
In KPMG LLP (May 21, 2012), GAO sustained a challenge to CIA's conduct of discussions, finding the agency misleadingly informed KPMG that proposals should include resumes for all proposed personnel, yet the awardee proposed – and CIA accepted – only representative resumes, which allowed the awardee to offer a lower cost. GAO also found CIA's cost realism evaluation inadequate, stressing that CIA's evaluation documentation reflected "no meaningful consideration" of whether cost reductions associated with the awardee’s technical approach would actually occur.
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AI in Life Sciences: Ten Legal Considerations and Risks of AI Use in Drug Discovery and Development
Over the past several years, the biopharmaceutical industry has embraced artificial intelligence and machine learning (AI/ML) in near lockstep with the pace of AI/ML innovations. Today, industry leaders are using AI/ML to, among other things: discover and assess biological pathways, target chemical structures and sequences; design proteins; model pre-clinical and clinical trials; recruit and screen potential patient populations; evaluate clinical trial results and biomarker data; prepare regulatory filings; and manage supply chains. Deployment of new AI/ML models promises extraordinary advances in pharmaceutical development. However, as with any technological and scientific advances, the use of AI/ML also poses substantial legal risks that life sciences companies need to consider and proactively manage.
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