Uncovering the neural basis of consciousness is a major challenge to neuroscience. In this Perspective, Tononi and colleagues describe the integrated information theory of consciousness and how it might be used to answer outstanding questions about the nature of consciousness.

The focus of this paper are the ethical, legal and social challenges for ensuring the responsible use of “big brain data”—the recording, collection and analysis of individuals’ brain data on a large scale with clinical and consumer-directed neurotechnological devices. First, I highlight the benefits of big data and machine learning analytics in neuroscience for basic and translational research. Then, I describe some of the technological, social and psychological barriers for securing brain data from unwarranted access. In this context, I then (...) examine ways in which safeguards at the hardware and software level, as well as increasing “data literacy” in society, may enhance the security of neurotechnological devices and protect the privacy of personal brain data. Regarding ethical and legal ramifications of big brain data, I first discuss effects on the autonomy, the sense of agency and authenticity, as well as the self that may result from the interaction between users and intelligent, particularly closed-loop, neurotechnological devices. I then discuss the impact of the “datafication” in basic and clinical neuroscience research on the just distribution of resources and access to these transformative technologies. In the legal realm, I examine possible legal consequences that arises from the increasing abilities to decode brain states and their corresponding subjective phenomenological experiences on the hitherto inaccessible privacy of these information. Finally, I discuss the implications of big brain data for national and international regulatory policies and models of good data governance. (shrink)

The development and use of advanced and innovative neuroscience, neurotechnology and some forms of artificial intelligence have exposed potential threats to the human condition, including human rights. As a result, reconceptualizing or creating human rights (i.e. neurorights) has been proposed to address specific brain and mind issues like free will, personal identity and cognitive liberty. However, perceptions, interpretations and meanings of these issues—and of neurorights—may vary between countries, contexts and cultures, all relevant for an international-consensus definition and implementation of neurorights. (...) Thus, we encourage reflecting on the proactive inclusion of transnational, cross-cultural and contextual considerations and concerns to contribute to the global discourse. This inclusion does not mean endorsing ethical relativism but rather a call to foster a universal understanding of key concepts and concerns. Including contextual and cultural perspectives may truly anticipate global concerns which could be addressed while developing and implementing neurorights. Consequently, any ethical and/or legal regulatory framework(s) for the translational and transnational use of advanced neuroscience, neurotechnology and some forms of artificial intelligence intended to protect and safeguard human dignity should be contextually and culturally mindful, responsible, respectful and inclusive of not only human rights and fundamental freedoms but also of neurocognitive cultural diversity. (shrink)

:Brain–computer interfaces are driven essentially by algorithms; however, the ethical role of such algorithms has so far been neglected in the ethical assessment of BCIs. The goal of this article is therefore twofold: First, it aims to offer insights into whether the problems related to the ethics of BCIs can be better grasped with the help of already existing work on the ethics of algorithms. As a second goal, the article explores what kinds of solutions are available in that body (...) of scholarship, and how these solutions relate to some of the ethical questions around BCIs. In short, the article asks what lessons can be learned about the ethics of BCIs from looking at the ethics of algorithms. To achieve these goals, the article proceeds as follows. First, a brief introduction into the algorithmic background of BCIs is given. Second, the debate about epistemic concerns and the ethics of algorithms is sketched. Finally, this debate is transferred to the ethics of BCIs. (shrink)