White Papers
Stay informed on the evolving landscape of responsible data science and AI.
White Paper
AI Post-ChatGPT: A Progress Report and Future ForecastMuch like the moment humanity first breached Earth's atmosphere into the vast expanse of space, the advent of ChatGPT and other AI technologies presents a pivotal leap. This white paper analyzes the lessons learned and the insights gained that can guide us toward a future where we mitigate the risks while maximizing the opportunities for innovation, equity, and shared understanding.
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White Paper
Breaking the Technological Fourth Wall: The Democratization of AIIn this White Paper we delve into the human impact of the transformative phenomenon of generative AI and ChatGPT -— exploring how making AI tools more accessible to the public parallels the shattering of “the fourth wall” between auteur and audience. Read how this revolutionary technology is breaking old barriers and raising new questions.
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White Paper
Guiding Principles Of Responsible Data Science: How to Build a World Where Data Helps Without HarmData Science is a powerful tool that has helped millions find data-driven solutions to societal problems. For some, however, these solutions have done more harm than good. Our first white paper addresses the urgent need to integrate responsible values into data science practice. Read how the four guiding principles of Fairness, Transparency, Privacy and Veracity can make a difference in building a world where data helps without harm.