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          <dc:title>Artificial Intelligence and Formal Methods Join Forces for Reliable Autonomy (Dagstuhl Seminar 24361)</dc:title>
          <dc:creator>Jansen, Nils</dc:creator>
          <dc:creator>Kochenderfer, Mykel</dc:creator>
          <dc:creator>Kretinsky, Jan</dc:creator>
          <dc:creator>Tumova, Jana</dc:creator>
          <dc:creator>Galesloot, Maris</dc:creator>
          <dc:subject>artificial intelligence</dc:subject>
          <dc:subject>autonomous systems</dc:subject>
          <dc:subject>formal verification</dc:subject>
          <dc:subject>machine learning</dc:subject>
          <dc:subject>robotics</dc:subject>
          <dc:description>This report documents the program and outcomes of Dagstuhl Seminar 24361, "Artificial Intelligence and Formal Methods Join Forces for Reliable Autonomy." AI is a disruptive force with growing applications in everyday life. Therefore, AI systems require serious safety, correctness, and reliability considerations. Recently, the field of safety in AI has triggered a vast amount of research. This seminar brought together experts from the fields of artificial intelligence, formal methods, and robotics. Via a diverse program with ample space for open yet guided discussion, a common understanding of problems was developed. Consequently, the seminar provided a means to identify key challenges and open problems in the research areas that underpin reliable autonomy.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Nils Jansen and Mykel Kochenderfer and Jan Kretinsky and Jana Tumova and Maris Galesloot</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of Dagstuhl Reports, Volume 14, Issue 9 (2025)</dc:relation>
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          <dc:language>eng</dc:language>
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