HYBRIDMINDS-summary and outlook of the 2023 international conference on the ethics and regulation of intelligent neuroprostheses

Front Hum Neurosci. 2024 Oct 17:18:1489307. doi: 10.3389/fnhum.2024.1489307. eCollection 2024.

Abstract

Neurotechnology and Artificial Intelligence (AI) have developed rapidly in recent years with an increasing number of applications and AI-enabled devices that are about to enter the market. While promising to substantially improve quality of life across various severe medical conditions, there are also concerns that the convergence of these technologies, e.g., in the form of intelligent neuroprostheses, may have undesirable consequences and compromise cognitive liberty, mental integrity, or mental privacy. Therefore, various international organizations, such as the Organization for Economic Cooperation and Development (OECD) or United Nations Educational, Scientific and Cultural Organization (UNESCO), have formed initiatives to tackle such questions and develop recommendations that mitigate risks while fostering innovation. In this context, a first international conference on the ethics and regulation of intelligent neuroprostheses was held in Berlin, Germany, in autumn 2023. The conference gathered leading experts in neuroscience, engineering, ethics, law, philosophy as well as representatives of industry, policy making and the media. Here, we summarize the highlights of the conference, underline the areas in which a broad consensus was found among participants, and provide an outlook on future challenges in development, deployment, and regulation of intelligent neuroprostheses.

Keywords: brain-computer interface; human-computer interaction; neuroethics; neuroprosthetics; neurorights; neurotechnology; regulation.

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The conference was made possible by generous support of ERA-NET Neuron under the project HYBRIDMINDS, and the German Research Foundation (DFG, SO 932/8-1). The authors acknowledge research funding for CB by the German Ministry of Education and Research (ERA NET Neuron 01GP2121A); for SRS by the German Ministry of Education and Research (ERA NET Neuron 01GP2121B, CHANSE Q-SHIFT 01UX2211, NEO 13GW0483C, SSMART 01DR21025A, QHMI 03ZU2110FC), European Research Council (ERC) under the projects NGBMI (759370) and TIMS (101081905), the Deutsche Forschungsgemeinschaft (DFG SO932/7-1), and the Einstein Foundation Berlin (ESB).