We humans worry deployed artificially intelligent systems (AIs) could harm individual humans and perhaps even humanity as a whole. These AIs might be embodied robots such as autonomous vehicles making driving decisions, or disembodied advisors recommending products, credit, or parole. The field of AI ethics has arisen and grown rapidly, investigating how humans should design and deploy AIs, and how to create AIs that reason appropriately about how they should act. This Viewpoint attempts to pick out one useful thread of an immensely complex and important discussion. To approach these questions, AI researchers must understand how ethics works for humans--the problem of descriptive ethics.

A 100-year-long study of artificial intelligence -- known as the AI100 -- is now working toward its second report to reflect on, and predict, the societal impacts of AI technologies. When the project was launched in 2014, an interdisciplinary group of experts gathered to assess the effects AI has on its users and their communities, as well as the technology itself. The first report titled Artificial Intelligence and Life in 2030 is a reference for those in government and industry, as well as for the general public, on how to interact with AI. It covers eight sectors spanning from transportation and healthcare to entertainment. As we enter the next decade, a second report looms on the horizon.

We will be talking about AI and society, open source software, as well the current events in the field of AI. The Run down: Introductions: 10 mins – Introduce yourself with the formal pleasantries of who are you and what do you do. News: 20 Mins – What's going on in the world today as related to AI and its effect on society Community talk on De-centralized Longitudinal Data in Preventative Healthcare 75 mins - Come on down and let's talk about the role of longitudinal data in preventive medicine. We will also talk about: -The role of creating data markets for such data -How to encourage patients to share their medical billing costs in an anonymized fashion as a way to begin to create a de-centralized open source EHR -How to align market incentives to benefit patients long term while bringing down costs Networking: 15 mins – Schmooze it up you guys.