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R&D Initiatives
ATLAS-24
In 2024, COGSEC focused on work with partners to establish methods for local sharing and setting of best practices, duties of care, and standards (i.e., self-infrastructuring and professionalization) at the edges between professions and roles involved in procuring, designing, developing, or implementing information systems, such as chief data officers, chief information officers, software and machine learning engineers, and user experience designers. We refined the , and began work on scale-appropriate prototype implementation for use in codifying common patterns of practice, risk, and governance to address the need for standards, ethical guidelines, professionalization, and adequate self-regulation in the domain of information systems design, development, and engineering - with an emphasis on the recent proliferation and increased accessibility of natural language AI systems.
Issues of interest included AI safety, explainability, potential for model collapse, stability of APIs and information supply chains, stability of cyber insurance, interdisciplinary information sharing, modeling of information and ontology conflicts using generalized dynamical systems and active inference, and implications of artificial intelligence on cognitive security.
Disclaimer
Authorship or other forms of contribution under a COGSEC program does not necessarily represent or constitute (i) an endorsement of any other hosted materials, (ii) a formal affiliation with any associated organizations or communities or COGSEC itself, or (iii) contact or association with any other contributor or author, even where they are marked as contributors or authors on the same materials.
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