A detailed paleomagnetic study conducted in the Sangiran area, Java, has provided a reliable age constraint on hominid fossilbearing formations. A reverse-to-normal polarity transition marks a 7-m thick section across the Upper Tuff in the Bapang Formation. The transition has three short reversal episodes and is overlain by a thick normal polarity magnetozone that was fission-track dated to the Brunhes chron. This pattern closely resembles another highresolution Matuyama-Brunhes (MB) transition record in an Osaka Bay marine core. In the Sangiran sediments, four successive transitional polarity fields lie just below the presumed main MB boundary. Their virtual geomagnetic poles cluster in the western South Pacific, partly overlapping the transitional virtual geomagnetic poles from Hawaiian and Canary Islands' lavas, which have a mean 40 Ar/ 39 Ar age of 776 ± 2 ka. Thus, the polarity transition is unambiguously the MB boundary. A revised correlation of tuff layers in the Bapang Formation reveals that the hominid last occurrence and the tektite level in the Sangiran area are nearly coincident, just below the Upper Middle Tuff, which underlies the MB transition. The stratigraphic relationship of the tektite level to the MB transition in the Sangiran area is consistent with deep-sea core data that show that the meteorite impact preceded the MB reversal by about 12 ka. The MB boundary currently defines the uppermost horizon yielding Homo erectus fossils in the Sangiran area.paleomagnetism | marine isotope stage 19 | magnetostratigraphy | geochronology

In this paper, we first enumerate the problems that humans might face with a new type of technology such as robots with artificial intelligence (AI robots). Robotics entrepreneurs are calling for discussions about goals and values because AI robots, which are potentially more intelligent than humans, can no longer be fully understood and controlled by humans. AI robots could even develop into ethically Bbad^agents and become very harmful. We consider these discussions as part of a process of developing responsible innovations in AI robotics in order to prevent catastrophic risks on a global scale. To deal with these issues, we propose the capability-effectual approach, drawing on two bodies of research: the capability approach from ethics, and the effectual process model from entrepreneurship research. The capability approach provides central human capabilities, guiding the effectual process through individual goals and aspirations in the collaborative design process of stakeholders. More precisely, by assuming and understanding correspondences between goals, purposes, desires, and aspirations in the languages of different disciplines, the capability-effectual approach clarifies both how a capability list working globally could affect the aspirations and end-goals of individuals, and how local aspirations and end-goals could either energise or limit effectual processes. Theoretically, the capability-effectual approach links the collaboration of stakeholders and the design process in responsible innovation

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