This lesson is the first part of a three-part series on the development of neuroinformatic infrastructure to ensure compliance with European data privacy standards and laws. 

This is the second of three lectures around current challenges and opportunities facing neuroinformatic infrastructure for handling sensitive data. 

This lesson contains the first part of the lecture Data Science and Reproducibility. You will learn about the development of data science and what the term currently encompasses, as well as how neuroscience and data science intersect. 

This lecture gives a tour of what neuroethics is and how it applies to neuroscience and neurotechnology, while also addressing justice concerns within both fields. 

This lecture presents selected theories of ethics as applied to questions raised by the Human Brain Project.

The HBP as an ICT flagship project crucially relies on ICT and will contribute important input into the development of new computing principles and artefacts. Individuals working on the HBP should therefore be aware of the long history of ethical issues discussed in computing. This lessson provides an overview of the most widely discussed ethical issues in computing and demonstrate that privacy and data protection are by no means the only issue worth worrying about. 

This lecture explores two questions regarding the ethics of robot development and use. Firstly, the increasingly urgent question of the ethical use of robots: are there particular applications of robots that should be proscribed, in eldercare, or surveillance, or combat? Secondly, the talk deals with the longer-term question of whether intelligent robots themselves could or should be ethical.

In this lesson, attendees will learn about the challenges involved in working with life scientists to enhance their capacity for understanding, and taking responsibility for, the social implications of their research.

This lecture considers some of the key social and ethical issues raised by the ‘big brain projects’ currently under way in Europe, the USA, China, Japan, and many other regions. 

This lecture aims to give an introduction and overview of the dual-use challenge as it applies to neuroscience today and will apply in coming decades.

What is ethics in biomedical research? In this case, ethics refers to how we think we can use animals in biomedical research and what we gain from the experimental setup of those investigations. We will talk about “a common set of values” and how 3R engagement can make a difference in experimental procedures, results, and scientific publications of the future.

This lecture discusses how artificial intelligence (AI) is presented in policy documents as a disruptive and transformative technology. The talk will further elaborate on how policy-makers frame social risks and opportunities associated with AI in areas such as employment, business, healthcare, education, and military.

This lesson provides a high-level overview of the ethical issues related to data use in such a large, complex, and multi-national research initiative as the HBP.

This lecture explores the morally relevant aspects of cognitive enhancement, with special emphasis on safety, fairness, authenticity, and coercion (peer pressure). It will also touch upon the less-widely discussed issue of moral status and cognitive function.

This talk attempts to answer the question “how intelligent are present-day intelligent robots?” and describe efforts to design robots that are not only more intelligent but also have a sense of self. But if we should be successful in designing such robots, would they think like animals, or even humans? And what are the realistic prospects for future (sentient) robots as smart as humans?

This talk discusses the potential contribution of philosophical reflection on Responsible Research and Innovation (RRI), referring to specific works done within SP12.

This lecture covers multiple aspects of FAIR neuroscience data: what makes it unique, the challenges to making it FAIR, the importance of overcoming these challenges, and how data governance comes into play.

This lecture provides guidance on the ethical considerations the clinical neuroimaging community faces when applying the FAIR principles to their research. 

This lecture covers the ethical implications of the use of pharmaceuticals to enhance brain functions and was part of the Neuro Day Workshop held by the NeuroSchool of Aix Marseille University.

This lecture covers the ethical implications of the use of brain-computer interfaces, brain-machine interfaces, and deep brain stimulation to enhance brain functions and was part of the Neuro Day Workshop held by the NeuroSchool of Aix Marseille University.