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Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust

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arxiv 2010.14443 v1 pith:6M5K7T4C submitted 2020-10-27 cs.CY cs.AIcs.HCcs.MA

classification cs.CYcs.AIcs.HCcs.MA
keywords autonomyassuredsystemschallengesgovernmentresearchworkshopworkshops
verification ladder T0 review T1 audit T2 compute T3 formal
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The challenge of establishing assurance in autonomy is rapidly attracting increasing interest in the industry, government, and academia. Autonomy is a broad and expansive capability that enables systems to behave without direct control by a human operator. To that end, it is expected to be present in a wide variety of systems and applications. A vast range of industrial sectors, including (but by no means limited to) defense, mobility, health care, manufacturing, and civilian infrastructure, are embracing the opportunities in autonomy yet face the similar barriers toward establishing the necessary level of assurance sooner or later. Numerous government agencies are poised to tackle the challenges in assured autonomy. Given the already immense interest and investment in autonomy, a series of workshops on Assured Autonomy was convened to facilitate dialogs and increase awareness among the stakeholders in the academia, industry, and government. This series of three workshops aimed to help create a unified understanding of the goals for assured autonomy, the research trends and needs, and a strategy that will facilitate sustained progress in autonomy. The first workshop, held in October 2019, focused on current and anticipated challenges and problems in assuring autonomous systems within and across applications and sectors. The second workshop held in February 2020, focused on existing capabilities, current research, and research trends that could address the challenges and problems identified in workshop. The third event was dedicated to a discussion of a draft of the major findings from the previous two workshops and the recommendations.

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Cited by 2 Pith papers

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    A workshop report that distills cross-sector regulator views on safety assurance for autonomous inspection robots and proposes reusable assurance patterns as a path to certification.

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