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The file attached to this record is the author's final peer reviewed version. open access article The interdisciplinary field of neurorobotics looks to neuroscience to overcome the limitations of modern robotics technology, to robotics to advance our understanding of the neural system’s inner workings, and to information technology to develop tools that support those complementary endeavours. The development of these technologies is still at an early stage, which makes them an ideal candidate for proactive and anticipatory ethical reflection. This article explains the current state of neurorobotics development within the Human Brain Project, originating from a close collaboration between the scientific and technical experts who drive neurorobotics innovation, and the humanities and social sciences scholars who provide contextualising and reflective capabilities. This article discusses some of the ethical issues which can reasonably be expected. On this basis, the article explores possible gaps identified within this collaborative, ethical reflection that calls for attention to ensure that the development of neurorobotics is ethically sound and socially acceptable and desirable.

For a number of years, facial features removal techniques such as ‘defacing’, ‘skull stripping’ and ‘face masking/ blurring’, were considered adequate privacy preserving tools to openly share brain images. Scientifically, these measures were already a compromise between data protection requirements and research impact of such data. Now, recent advances in machine learning and deep learning that indicate an increased possibility of re- identifiability from defaced neuroimages, have increased the tension between open science and data protec-tion requirements. Researchers are left pondering how best to comply with the different jurisdictional re-quirements of anonymization, pseudonymisation or de-identification without compromising the scientific utility of neuroimages even further. In this paper, we present perspectives intended to clarify the meaning and scope of these concepts and highlight the privacy limitations of available pseudonymisation and de-identification tech-niques. We also discuss possible technical and organizational measures and safeguards that can facilitate sharing of pseudonymised neuroimages without causing further reductions to the utility of the data.&nbsp

Purpose This study aims to investigate the impact of corporate social responsibility disclosure (CSRD) on firm performance and the moderating role of corporate governance on the CSRD–firm performance relationship of listed companies in Nigeria. Design/methodology/approach The paper uses a panel data set comprising 841 firm-year observations for the period covering 2007-2016. Fixed effect regression analysis was used to examine the relationship between CSRD and firm performance, and the moderating role of corporate governance in the CSRD–firm performance relationship. Findings The results of the study show that there are positive performance implications for firms that engage in CSRD. Although this study finds no effect of board size on the CSRD–firm performance relationship, it provides a strong evidence of a positive effect of board independence on the CSR–firm performance relationship. Practical implications The study contributes to the understanding of CSRD–firm performance relationship by providing evidence of the moderating role of corporate governance. It is, therefore, recommended that a stronger regulation be put in place for CSR engagement and the disclosure of same in Nigeria as well as robust measures for the enforcement of corporate governance mechanisms because there are economic benefits to be derived. Originality/value The findings contribute to the literature by providing up-to-date and original insights on the CSRD–firm performance relationship within a developing country context. It also uses an uncommon method of measuring CSRD, taking into account the institutional biases that may arise from other methods used in studies on developed countries.