The US onAir National Hub is the central hub for the US onAir Network of  50 state onAir hubs. The nonpartisan nonprofit Democracy onAir will be overseeing the soft launch of the US onAir Network this fall.

The US onAir Network supports US citizens and their democracy by bringing together information, experts, organizations, policy makers, and the public to facilitate greater engagement in federal, state, and local politics and more civil, positive discussions and collaborations on important issues and governance.

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Your Voice matters – onAir! 

Select the play button in the feature image or the link below to view a two minute video about the US onAir network.  For a quick scan of this post’s content, select the tabs. For a page view of this post on computers, click anywhere on the feature image or this post’s title. Go to this post for more information on the network and the onAir platform.

The AI Policy Hub is focused on bringing together information, experts, organizations, policy makers, and the public to address AI regulation challenges..

If you or your organization would like to curate a post within this hub (e.g. a profile post on your organization), contact jeremy.pesner@onair.cc.

The regulation of artificial intelligence is the development of public sector policies and laws for promoting and regulating artificial intelligence (AI); it is therefore related to the broader regulation of algorithms. The regulatory and policy landscape for AI is an emerging issue in jurisdictions globally, including in the European Union and in supra-national bodies like the IEEE, OECD and others. Since 2016, a wave of AI ethics guidelines have been published in order to maintain social control over the technology. Regulation is considered necessary to both encourage AI and manage associated risks. In addition to regulation, AI-deploying organizations need to play a central role in creating and deploying trustworthy AI in line with the principles of trustworthy AI,  and take accountability to mitigate the risks.  Regulation of AI through mechanisms such as review boards can also be seen as social means to approach the AI control problem.