BUCHAREST, Romania – Some 3,000 ethnic Hungarians have staged a march in Romania's northwest Transylvania region to demand more autonomy. They gathered in Targu Mures, a city that is home to many ethnic Hungarians, on Saturday carrying a giant Szekler flag, a symbol of the Hungarian minority seeking greater self-determination in Romania. Participants shouted "Autonomy!" and presented a petition calling for territorial autonomy for their group. They said the request would not "affect the territorial autonomy and sovereignty of Romania." There are some 1.2 million ethnic Hungarians living in Romania, a country of 19 million.
This paper concerns the sociotechnical bases of human autonomy. Drawing on recent literature on AI ethics, philosophical literature on dimensions of autonomy, and on independent philosophical scrutiny, we first propose a multi-dimensional model of human autonomy and then discuss how AI systems can support or hinder human autonomy. What emerges is a philosophically motivated picture of autonomy and of the normative requirements personal autonomy poses in the context of algorithmic systems. Ranging from consent to data collection and processing, to computational tasks and interface design, to institutional and societal considerations, various aspects related to sociotechnical systems must be accounted for in order to get the full picture of potential effects of AI systems on human autonomy. It is clear how human agents can, for example via coercion or manipulation, hinder each other’s autonomy, or how they can respect each other’s autonomy. AI systems can promote or hinder human autonomy, but can they literally respect or disrespect a person’s autonomy? We argue for a philosophical view according to which AI systems – while not moral agents or bearers of duties, and unable to literally respect or disrespect – are governed by so-called ought-to-be norms. This explains the normativity at stake with AI systems. The responsible people (designers, users etc.) have duties and ought-to-do norms, which correspond to these ought-to-be norms.
As Russian leadership attempts to come to terms with technology's impact on its military power and role in the world, artificial intelligence and autonomy stand out as an area of particular growth and potential for influence. In " Artificial Intelligence and Autonomy in Russia," CNA provides the first major piece of U.S. research that articulates contemporary Russia's main initiatives, achievements, and accomplishments in AI and autonomy efforts and places those initiatives within the broader technological landscape in Russia. Researchers worked closely with the Joint Artificial Intelligence Center to map and assess the Russian AI and autonomy ecosystem, finding that Russia faces significant challenges in the growth of its technological foundation--in terms of education, training, and the country's technology structure--that directly impact the development of AI and autonomy in Russia. The rapid pace of development in AI and autonomy across the globe and in Russia drives new developments and initiatives announced almost daily. As this body of work demonstrates, it is critical that U.S. national security policymakers consider that while Russia may not be a primary driver of AI innovation itself, it does prioritize investing in and capitalizing on developments in AI and autonomy.
At the virtual Open Source Summit, The Linux Foundation announced the SODA Foundation, formerly OpenSDS, is adding open-source software and standards to its efforts to support data autonomy. It will do this by hosting an open-source, unified, and autonomous data management framework for data mobility from core to cloud to edge. The idea of data autonomy is to give you the power to maintain control of your data, no matter where it lives. With data autonomy, your data can be stored and used no matter where it resides: On-premise, public, hybrid, multi-cloud. In addition, it will let you manage it securely with granular data access control. This will enable your company to be data-agile, so you can respond to sudden shifts in the market, new opportunities, and unforeseen threats quickly, without losing data or services.