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Responsible Artificial Intelligence

We are interested not only in the development of intelligent agents, but also in understanding the effects of their deployment on our societies.

We are working to ensure the ethical application of Artificial Intelligence (AI), both through: Our diverse multidisciplinary research programme aims to help all relevant actors to have access to the means and tools to develop, deploy, operate, and govern systems, while taking any ethical, legal, and socio-economics implications into consideration.

Artificial Intelligence Roadmap

Many people throughout the computing research community have contributed to the Roadmapping activity, resulting in this report.

Any opinions, findings, and conclusions or recommendations expressed in this material do not necessarily reflect the views of the individual contributors: Liz Bradley, Patti Brennan, Maya Cakmak, Tara Chklovski, Vince Conitzer, Gobi Dasu, Dieter Fox, Finale Doshi-Velez, Juliana Freire, Christina Gardner-McCune, Brian Gerkey, Carla Gomes, Robert Holte, Ayanna Howard, Charles Isbell, Chad Jenkins, Sampath Kannan, Christian Lebiere, Karen Levy, Henry Lieberman, Dan Lopresti, Travis Mandel, Maja Mataric´, Bilge Mutlu, Hector Palacios, David Parkes, Ray Perrault, Ronitt Rubinfeld, Norman Sadeh, Aviv Segev, Andrew Selbst, Jim Spohrer, Peter Stone, Russ Tedrake, David Touretzky, Brian Van Voorst, Suresh Venkatasubramanian, Association for Computing Machinery’s (ACM) US Technology Policy Committee, and the Center for Human-Compatible AI.

NIST Lays Out Roadmap for Developing Artificial Intelligence Standards

 Federal standards for artificial intelligence must be strict enough to prevent the tech from harming humans, yet flexible enough to encourage innovation and get the tech industry on board, according to the National Institute of Standards and Technology.

“While there is broad agreement that these issues must factor into AI standards, it is not clear how that should be done and whether there is yet sufficient scientific and technical basis to develop those standards provisions.” NIST’s plan was born out of a February executive order that called on agencies to ramp up their investments in AI as global competitors like China work to bolster their own AI capabilities.

The strategy comes as one of the government’s first and most concrete steps toward placing guardrails on a technology that could have significant negative repercussions if left unchecked.  The AI standards developed in the years ahead should be flexible enough to adapt to new technologies while also minimizing bias and protecting individual privacy, the agency said.

Expanding public-private partnerships could also help inform federal AI standards, they said, and increasing cooperation with international partners could help address many of the national security concerns related to the tech.  “Public trust, security, and privacy considerations remain critical components of our approach to setting AI technical standards,” U.S. Chief Technology Officer Michael Kratsios said in a statement.

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