What is Ethics in biomedical research? In this case the ethics we talk about is how we think we can use animals in biomedical research and what we gain from the experimental setup of experiments. We will talk about “a common set of values” and how 3R engagement can make a difference to experimental procedures and a progress in the positive outcome of experimental procedures and results and scientific papers of the future.
Artificial intelligence (AI) is increasingly affecting almost all areas of life from jobs, healthcare and entertainment to public safety and defense. While advances in AI are associated with new opportunities for economic growth and well-being, they at the same time raise major ethical concerns about AI impact on social equality, transparency and accountability. In recent years, these issues have acquired a prominent role on the agendas of policy-makers around the world. Today the need to facilitate beneficial development of AI and regulate it in the public interest is regularly addressed in speeches of political leaders and policy documents prepared by national governments, international organizations, experts, consulting companies and stakeholders.
A high-level overview of the ethical issues related to data use in such a big, complex and multi-national research initiative as the HBP
Cognitive functions underlie everything we feel, think, and do. It has often been assumed that the cognitive capacities of an individual, whether human or animal, is fixed, either at birth or at maturation. Yet recent studies have demonstrated that cognitive functions can be modified by a wide variety of factors, many of which are controllable. Some of these, including sleep and meditation, are not currently ethically controversial. But others, especially those which make use of advanced technology or unfamiliar drugs, have been challenged on ethical grounds.
Press headlines frequently refer to robots that think like humans, or even have feelings, but is there any basis of truth in such headlines, or are they simply sensationalist hype? Computer scientist EW Dijkstra famously wrote, “the question of whether machines can think is about as relevant as the question of whether submarines can swim”, but the question of robot thought is one that cannot so easily be dismissed. In this talk I will attempt 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?
Computational models provide a framework for integrating data across spatial scales and for exploring hypotheses about the biological mechanisms underlying neuronal and network dynamics. However, as models increase in complexity, additional barriers emerge to the creation, exchange, and re-use of models. Successful projects have created standards for describing complex models in neuroscience and provide open source tools to address these issues. This lecture provides an overview of these projects and make a case for expanded use of resources in support of reproducibility and validation of models against experimental data.