Data, Privacy, Security, and Regulation

In an era dominated by oceans of data, D^3 hosts a community of practice that offers a discerning perspective on the intricate tapestry of data governance, privacy, security, and regulatory compliance. Participants in this community engage in a comprehensive discourse amongst industry experts, exploring responsible AI and the dynamic realm of regulations, industry standards, and best practices. The community explores how to harness the immense potential of data for strategic business advancement while ensuring the safeguarding of sensitive information, upholding privacy rights, and establishing or integrating resilient and ethical frameworks that underpin success in data-driven endeavors.

Insight: Common Generative AI Misconceptions and How to Demystify Them

Owing to the accelerated advancement in the field of generative AI technologies, it’s important to address misconceptions about what generative AI tools can and cannot do in order to maximize the benefits and minimize potential harms. In this “Ask me Anything” session, Amanda demystifies some of the most commonly held misconceptions about generative AI via discussions of real-world use cases. While responding to specific questions, Amanda highlights areas in which generative AI seems to thrive, while she also identifies notable shortcomings of the technology by drawing from her diverse and extensive experience as a digital transformation expert and a sought-after advisor to leading organizations in artificial intelligence and machine learning technologies.

Mar 28

Getting the Ethics of AI Right: A Discussion of Case Studies and Recommendations for a Way Forward

12:00 pm - 1:00 pm EDT Virtual Event / Zoom
This event will explore the ethics of AI by delving into the intricate balance between technological advancement and ethical responsibility. Our guest contributor, Alberto Chierici, Ph.D. will guide us through an exploration of some of the existential questions and moral dilemmas posed by artificial intelligence and how they impact society, governance, and individual rights. Attendees will gain a deeper understanding of the ethical considerations necessary for the responsible development and deployment of AI technologies.

Certifying LLM Safety Against Adversarial Prompting

Large language models (LLMs) released for public use incorporate guardrails to ensure their output is safe, often referred to as “model alignment.” The study presented by Chirag Agarwal Chirag Agarwal , Suraj Srinivasan Suraj Srinivasan , Himabindu Lakkaraju, Aounon Kumar, and Aaron Jiaxun Li, along with University of Maryland colleague Soheil Feizi, investigates a novel […]

Scaling AI Applications

Insights from the December 13th, 2023 session on Gen AI use cases in the BioPharma sector.

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