Tag: Human Brain Project (Page 4 of 8)

Ethically responsible robot development

18 November, 2020 / Pär Segerdahl / 1 Comment

Development of new technologies sometimes draws inspiration from nature. How do plants and animals solve the problem? An example is robotics, where one wants to develop better robots based on what neuroscience knows about the brain. How does the brain solve the problem?

Neuroscience, in turn, sees new opportunities to test hypotheses about the brain by simulating them in robots. Perhaps one can simulate how areas of the brain interact in patients with Parkinson’s disease, to understand how their tremor and other difficulties are caused.

Neuroscience-inspired robotics, so-called neurorobotics, is still at an early stage. This makes neurorobotics an excellent area for being ethically and socially more proactive than we have been in previous technological developments. That is, we can already begin to identify possible ethical and social problems surrounding technological development and counteract them before they arise. For example, we cannot close our eyes to gender and equality issues, but must continuously reflect on how our own social and cultural patterns are reflected in the technology we develop. We need to open our eyes to our own blind spots!

You can read more about this ethical shift in technology development in an article in Science and Engineering Ethics (with Manuel Guerrero from CRB as one of the authors). The shift is called Responsible Research and Innovation, and is exemplified in the article by ongoing work in the European research project, Human Brain Project.

Not only neuroscientists and technology experts are collaborating in this project to develop neurorobotics. Scholars from the humanities and social sciences are also involved in the work. The article itself is an example of this broad collaboration. However, the implementation of responsible research and development is also at an early stage. It still needs to find more concrete forms of work that make it possible not only to anticipate ethical and social problems and reflect on them, but also to act and intervene to influence scientific and technological development.

From being a framework built around research and development, ethics is increasingly integrated into research and development. Read the article if you want to think about this transition to a more reflective and responsible technological development.

Written by…

Pär Segerdahl, Associate Professor at the Centre for Research Ethics & Bioethics and editor of the Ethics Blog.

Aicardi, C., Akintoye, S., Fothergill, B.T. et al. Ethical and Social Aspects of Neurorobotics. Sci Eng Ethics 26, 2533–2546 (2020). https://doi.org/10.1007/s11948-020-00248-8

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Approaching future issues

“Cooperative,” “pleasant” and “reliable” robot colleague is wanted

26 October, 2020 / Pär Segerdahl / 1 Comment

Robots are getting more and more functions in our workplaces. Logistics robots pick up the goods in the warehouse. Military robots disarm the bombs. Caring robots lift patients and surgical robots perform the operations. All this in interaction with human staff, who seem to have got brave new robot colleagues in their workplaces.

Given that some people treat robots as good colleagues and that good colleagues contribute to a good working environment, it becomes reasonable to ask: Can a robot be a good colleague? The question is investigated by Sven Nyholm and Jilles Smids in the journal Science and Engineering Ethics.

The authors approach the question conceptually. First, they propose criteria for what a good colleague is. Then they ask if robots can live up to the requirements. The question of whether a robot can be a good colleague is interesting, because it turns out to be more realistic than we first think. We do not demand as much from a colleague as from a friend or a life partner, the authors argue. Many of our demands on good colleagues have to do with their external behavior in specific situations in the workplace, rather than with how they think, feel and are as human beings in different situations of life. Sometimes, a good colleague is simply someone who gets the job done!

What criteria are mentioned in the article? Here I reproduce, in my own words, the authors’ list, which they do not intend to be exhaustive. A good colleague works well together to achieve goals. A good colleague can chat and help keep work pleasant. A good colleague does not bully but treats others respectfully. A good colleague provides support as needed. A good colleague learns and develops with others. A good colleague is consistently at work and is reliable. A good colleague adapts to how others are doing and shares work-related values. A good colleague may also do some socializing.

The authors argue that many robots already live up to several of these ideas about what a good colleague is, and that the robots in our workplaces will be even better colleagues in the future. The requirements are, as I said, lower than we first think, because they are not so much about the colleague’s inner human life, but more about reliably displayed behaviors in specific work situations. It is not difficult to imagine the criteria transformed into specifications for the robot developers. Much like in a job advertisement, which lists behaviors that the applicant should be able to exhibit.

The manager of a grocery store in this city advertised for staff. The ad contained strange quotation marks, which revealed how the manager demanded the facade of a human being rather than the interior. This is normal: to be a professional is to be able to play a role. The business concept of the grocery store was, “we care.” This idea would be a positive “experience” for customers in the meeting with the staff. A greeting, a nod, a smile, a generally pleasant welcome, would give this “experience” that we “care about people.” Therefore, the manager advertised for someone who, in quotation marks, “likes people.”

If staff can be recruited in this way, why should we not want “cooperative,” “pleasant” and “reliable” robot colleagues in the same spirit? I am convinced that similar requirements already occur as specifications when robots are designed for different functions in our workplaces.

Life is not always deep and heartfelt, as the robotization of working life reflects. The question is what happens when human surfaces become so common that we forget the quotation marks around the mechanically functioning facades. Not everyone is as clear on that point as the “humanitarian” store manager was.

Written by…

Pär Segerdahl, Associate Professor at the Centre for Research Ethics & Bioethics and editor of the Ethics Blog.

Nyholm, S., Smids, J. Can a Robot Be a Good Colleague?. Sci Eng Ethics 26, 2169–2188 (2020). https://doi.org/10.1007/s11948-019-00172-6

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Approaching future issues

We shape the societies that shape us: our responsibility for human nature

5 October, 2020 / Pär Segerdahl / 4 Comments

Visionary academic texts are rare – texts that shed light on how research can contribute to the perennial human issues. In an article in the philosophical journal Theoria, however, Kathinka Evers opens up a novel visionary perspective on neuroscience and tragic aspects of the human condition.

For millennia, sensitive thinkers have been concerned about human nature. Undoubtedly, we humans create prosperity and security for ourselves. However, like no other animal, we also have an unfortunate tendency to create misery for ourselves (and other life forms). The 20th century was extreme in both directions. What is the mechanism behind our peculiar, large-scale, self-injurious behavior as a species? Can it be illuminated and changed?

As I read her, Kathinka Evers asks essentially this big human question. She does so based on the current neuroscientific view of the brain, which she argues motivates a new way of understanding and approaching the mechanism of our species’ self-injurious behavior. An essential feature of the neuroscientific view is that the human brain is designed to never be fully completed. Just as we have a unique self-injurious tendency as a species, we are born with uniquely incomplete brains. These brains are under construction for decades and need good care throughout this time. They are not formed passively, but actively, by finding more or less felicitous ways of functioning in the societies to which we expose ourselves.

Since our brains shape our societies, one could say that we build the societies that build us, in a continual cycle. The brain is right in the middle of this sensitive interaction between humans and their societies. With its creative variability, the human brain makes many deterministic claims on genetics and our “innate” nature problematic. Why are we humans the way we are? Partly because we create the societies that create us as we are. For millennia, we have generated ourselves through the societies that we have built, ignorant of the hyper-interactive organ in the middle of the process. It is always behind our eyes.

Kathinka Evers’ point is that our current understanding of the brain as inherently active, dynamic and variable, gives us a new responsibility for human nature. She expresses the situation technically as follows: neuroscientific knowledge gives us a naturalistic responsibility to be epigenetically proactive. If we know that our active and variable brains support a cultural evolution beyond our genetic heritage, then we have a responsibility to influence evolution by adapting our societies to what we know about the strengths and weaknesses of our brains.

The notion of a neuroscientific responsibility to design societies that shape human nature in desired ways may sound like a call for a new form of social engineering. However, Kathinka Evers develops the notion of this responsibility in the context of a conscientious review of similar tendencies in our history, tendencies that have often revolved around genetics. The aim of epigenetic proaction is not to support ideologies that have already decided what a human being should be like. Rather, it is about allowing knowledge about the brain to inspire social change, where we would otherwise ignorantly risk recreating human misery. Of course, such knowledge presupposes collaboration between the natural, social and human sciences, in conjunction with free philosophical inquiry.

The article mentions juvenile violence as an example. In some countries, there is a political will to convict juvenile delinquents as if they were adults and even place them in adult prisons. Today, we know that during puberty, the brain is in a developmental crisis where important neural circuits change dramatically. Young brains in crisis need special care. However, in these cases they risk ending up in just the kind of social environments that we can predict will create more misery.

Knowledge about the brain can thus motivate social changes that reduce the peculiar self-injuring behavior of humanity, a behavior that has worried sensitive thinkers for millennia. Neuroscientific self-awareness gives us a key to the mechanism behind the behavior and a responsibility to use it.

Written by…

Pär Segerdahl, Associate Professor at the Centre for Research Ethics & Bioethics and editor of the Ethics Blog.

Kathinka Evers. 2020. The Culture‐Bound Brain: Epigenetic Proaction Revisited. Theoria. doi:10.1111/theo.12264

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We like challenging questions

What is required of an ethics of artificial intelligence?

14 September, 2020 / Pär Segerdahl / 1 Comment

I recently highlighted criticism of the ethics that often figures in the field of artificial intelligence (AI). An ethics that can handle the challenges that AI presents us with requires more than just beautifully formulated ethical principles, values and guidelines. What exactly is required of an ethics of artificial intelligence?

Michele Farisco, Kathinka Evers and Arleen Salles address the issue in the journal Science and Engineering Ethics. For them, ethics is not primarily principles and guidelines. Ethics is rather an ongoing process of thinking: it is continual ethical reflection on AI. Their question is thus not what is required of an ethical framework built around AI. Their question is what is required of in-depth ethical reflection on AI.

The authors emphasize conceptual analysis as essential in all ethical reflection on AI. One of the big difficulties is that we do not know exactly what we are discussing! What is intelligence? What is the difference between artificial and natural intelligence? How should we understand the relationship between intelligence and consciousness? Between intelligence and emotions? Between intelligence and insightfulness?

Ethical problems about AI can be both practical and theoretical, the authors point out. They describe two practical and two theoretical problems to consider. One practical problem is the use of AI in activities that require emotional abilities that AI lacks. Empathy gives humans insight into other humans’ needs. Therefore, AI’s lack of emotional involvement should be given special attention when we consider using AI in, for example, child or elderly care. The second practical problem is the use of AI in activities that require foresight. Intelligence is not just about reacting to input from the environment. A more active, foresighted approach is often needed, going beyond actual experience and seeing less obvious, counterintuitive possibilities. Crying can express pain, joy and much more, but AI cannot easily foresee less obvious possibilities.

Two theoretical problems are also mentioned in the article. The first is whether AI in the future may have morally relevant characteristics such as autonomy, interests and preferences. The second problem is whether AI can affect human self-understanding and create uncertainty and anxiety about human identity. These theoretical problems undoubtedly require careful analysis – do we even know what we are asking? In philosophy we often need to clarify our questions as we go along.

The article emphasizes one demand in particular on ethical analysis of AI. It should carefully consider morally relevant abilities that AI lacks, abilities needed to satisfy important human needs. Can we let a cute kindergarten robot “comfort” children when they scream with joy or when they injure themselves so badly that they need nursing?

Written by…

Pär Segerdahl, Associate Professor at the Centre for Research Ethics & Bioethics and editor of the Ethics Blog.

Farisco, M., Evers, K. & Salles, A. Towards establishing criteria for the ethical analysis of Artificial Intelligence. Science and Engineering Ethics (2020). https://doi.org/10.1007/s11948-020-00238-w

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We want solid foundations

Ethics as renewed clarity about new situations

26 August, 2020 / Pär Segerdahl / 1 Comment

An article in the journal Big Data & Society criticizes the form of ethics that has come to dominate research and innovation in artificial intelligence (AI). The authors question the same “framework interpretation” of ethics that you could read about on the Ethics Blog last week. However, with one disquieting difference. Rather than functioning as a fence that can set the necessary boundaries for development, the framework risks being used as ethics washing by AI companies that want to avoid legal regulation. By referring to ethical self-regulation – beautiful declarations of principles, values and guidelines – one hopes to be able to avoid legal regulation, which could set important limits for AI.

The problem with AI ethics as “soft ethics legislation” is not just that it can be used to avoid necessary legal regulation of the area. The problem is above all, according to the SIENNA researchers who wrote the article, that a “law conception of ethics” does not help us to think clearly about new situations. What we need, they argue, is an ethics that constantly renews our ability to see the new. This is because AI is constantly confronting us with new situations: new uses of robots, new opportunities for governments and companies to monitor people, new forms of dependence on technology, new risks of discrimination, and many other challenges that we may not easily anticipate.

The authors emphasize that such eye-opening AI ethics requires close collaboration with the social sciences. That, of course, is true. Personally, I want to emphasize that an ethics that renews our ability to see the new must also be philosophical in the deepest sense of the word. To see the new and unexpected, you cannot rest comfortably in your professional competence, with its established methods, theories and concepts. You have to question your own disciplinary framework. You have to think for yourself.

Read the article, which has already attracted well-deserved attention.

Written by…

Pär Segerdahl, Associate Professor at the Centre for Research Ethics & Bioethics and editor of the Ethics Blog.

Anaïs Rességuier, Rowena Rodrigues. 2020. AI ethics should not remain toothless! A call to bring back the teeth of ethics. Big Data & Society

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We like critical thinking

Ethical frameworks for research

19 August, 2020 / Pär Segerdahl / 1 Comment

The word ethical framework evokes the idea of something rigid and separating, like the fence around the garden. The research that emerges within the framework is dynamic and constantly new. However, to ensure safety, it is placed in an ethical framework that sets clear boundaries for what researchers are allowed to do in their work.

That this is an oversimplified picture is clear after reading an inventive discussion of ethical frameworks in neuroscientific research projects, such as the Human Brain Project. The article is written by Arleen Salles and Michele Farisco at CRB and is published in AJOB Neuroscience.

The article questions not only the image of ethical frameworks as static boundaries for dynamic research activities. Inspired by ideas within so-called responsible research and innovation (RRI), the image that research can be separated from ethics and society is also questioned.

Researchers tend to regard research as their own concern. However, there are tendencies towards increasing collaboration not only across disciplinary boundaries, but also with stakeholders such as patients, industry and various forms of extra-scientific expertise. These tendencies make research an increasingly dispersed, common concern. Not only in retrospect in the form of applications, which presupposes that the research effort can be separated, but already when research is initiated, planned and carried out.

This could sound threatening, as if foreign powers were influencing the free search for truth. Nevertheless, there may also be something hopeful in the development. To see the hopeful aspect, however, we need to free ourselves from the image of ethical frameworks as static boundaries, separate from dynamic research.

With examples from the Human Brain Project, Arleen Salles and Michele Farisco try to show how ethical challenges in neuroscience projects cannot always be controlled in advance, through declared principles, values and guidelines. Even ethical work is dynamic and requires living intelligent attention. The authors also try to show how ethical attention reaches all he way into the neuroscientific issues, concepts and working conditions.

When research on the human brain is not aware of its own cultural and societal conditions, but takes them for granted, it may mean that relevant questions are not asked and that research results do not always have the validity that one assumes they have.

We thus have good reasons to see ethical and societal reflections as living parts of neuroscience, rather than as rigid frameworks around it.

Written by…

Pär Segerdahl, Associate Professor at the Centre for Research Ethics & Bioethics and editor of the Ethics Blog.

Arleen Salles & Michele Farisco (2020) Of Ethical Frameworks and Neuroethics in Big Neuroscience Projects: A View from the HBP, AJOB Neuroscience, 11:3, 167-175, DOI: 10.1080/21507740.2020.1778116

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We like real-life ethics

Diversity in research: why do we need it? (by Karin Grasenick & Julia Trattnig)

12 August, 2020 / josepinefernow / 2 Comments

Scientific discovery is based on the novelty of the questions you ask. This means that if you want to discover something new, you probably have to ask a different question. And since different people have different preconceptions and experiences than you, they are likely to formulate their questions differently. This makes a case for diversity in research, If we want to make new discoveries that concern diverse groups, diversity in research becomes even more important.

The Human Brain Project participated in the FENS 2020 Virtual Forum this summer, an international virtual neuroscience conference that explores all domains in modern brain research. For the Human Brain Project (HBP), committed to responsible research and innovation, this includes diversity. Which is why Karin Grasenick, Coordinator for Gender and Diversity in the HBP, explored the relationship between diversity and new discovery in the session “Of mice, men and machines” at the FENS 2020.

So why is diversity in research crucial to make new discoveries? Research depends on the questions asked, the models used, and the details considered. For this reason, it is important to reflect on why certain variables are analysed, or which aspects might play a role. An example is Parkinson’s disease, where patients are affected differently depending on both age and gender. Being a (biological) man or woman, old or young is important for both diagnosis and treatment. If we know that diversity matters in research on Parkinson’s disease, it probably should do so in most neuroscience. Apart from gender and age, we also need to consider other aspects of diversity, like race, ethnicity, education or social background. Because depending on who you are, biologically, culturally and socially, you are likely to need different things.

A quite recent example for this is Covid-19, which does not only display gender differences (as it affects more men than women), but also racial differences: Black and Latino people in the US have been disproportionately affected, regardless of their living area (rural or urban) or their age (old or young). Again, the reasons for this are not simply biologically essentialist (e.g. hormones or chromosomes), but also linked to social aspects such as gendered lifestyles (men are more often smokers than women), inequities in the health system or certain jobs which cannot be done remotely (see for example this BBC Future text on why Covid-19 is different for men and women or this one on the racial inequity of coronavirus in The New York Times).

Another example is Machine Learning. If we train AI on data that is not representative of the population, we introduce bias in the algorithm. For example, applications to diagnose skin cancer in medicine more often fail to recognize tumours in darker skin correctly because they are trained using pictures of fair skin. There are several reasons for not training AI properly, it could be a cost issue, lack of material to train the AI on, but it is not unlikely that people with dark skin are discriminated because scientists and engineers simply did not think about diversity when picking material for the AI to train on. In the case of skin cancer, it is clear that diversity could indeed save lives.

But where to start? When you do research, there are two questions that must be asked: First, what is the focus of your research? And second, who are the beneficiaries of your research?

Whenever your research focus includes tissues, cells, animals or humans, you should consider diversity factors like gender, age, race, ethnicity, and environmental influences. Moreover, any responsible scientist should consider who has access to their research and profits from it, as well as the consequences their research might have for end users or the broader public.

However, as a researcher you need to consider not only the research subjects and the people your results benefit. The diversity of the research team also matters, because different people perceive problems in different ways and use different methods and processes to solve them. Which is why a diverse team is more innovative.

If you want to find out more about the role of diversity in research, check out the presentation “Of mice, men and machines” or read the blogpost on Common Challenges in Neuroscience, AI, Medical Informatics, Robotics and New Insights with Diversity & Ethics.

Written by…

Karin Grasenick, founder and managing partner of convelop, coordinates all issues related to Diversity and Equal Opportunities in the Human Brain Project and works as a process facilitator, coach and lecturer.

Julia Trattnig, consultant and scientific staff member at convelop, supports the Human Brain Project concerning all measures and activities for gender mainstreaming and diversity management.

We recommend readings

This is a guest blog post from the Human Brain Project (HBP). The HBP as received funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 945539 (Human Brain Project SGA3).

Working online during the pandemic: recommendations from the Human Brain Project

27 July, 2020 / Pär Segerdahl / 1 Comment

The covid-19 pandemic forced many of us to work online from home. The change contained surprises, both positive and negative. We learned that it is possible to have digital staff meetings, seminars and coffee breaks, and that working from home can sometimes mean less interference than working in the office. We also discovered how much better the office chair and desk are, how difficult it is to try to be professional online from an untidy home, and that working from home often means more interference than working in the office!

The European Human Brain Project (HBP) has extensive experience of collaborating digitally, with regular online meetings. This is how they worked long before the pandemic struck, since the project is a collaboration between more than 100 partner institutions in almost 20 countries, also outside Europe. As part of the project’s investment in responsible research and innovation, special efforts are now being made to digitally include everyone, when so much of the work has moved to the internet.

In the Journal of Responsible Technology, Karin Grasenick and Manuel Guerrero from HBP formulate recommendations based on experiences from the project. Their recommendations concern four areas: How do we facilitate social and family life? How do we reduce stress and anxiety? How do we handle career stages, roles and responsibilities? How do we support team spirit and virtual cooperation?

Read the concise article! You will recognize your work situation and be inspired by the suggestions. Even after the pandemic, online collaboration will occur.

Written by…

Pär Segerdahl, Associate Professor at the Centre for Research Ethics & Bioethics and editor of the Ethics Blog.

Karin Grasenick, Manuel Guerrero, Responsible Research and Innovation& Digital Inclusiveness during Covid-19 Crisis in the Human Brain Project (HBP), Journal of Responsi-ble Technology(2020), doi: https://doi.org/10.1016/j.jrt.2020.06.001

We like ethics

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Ethical fitness apps for high performance morality

wrist wearing smart watch with hand holding dumbbell

23 June, 2020 / Pär Segerdahl / 1 Comment

In an unusually rhetorical article for being in a scientific journal, the image is drawn of a humanity that frees itself from moral weakness by downloading ethical fitness apps.

The authors claim that the maxim “Know thyself!” from the temple of Apollo at Delphi is answered today more thoroughly than ever. Never has humanity known more about itself. Ethically, we are almost fully educated. We also know more than ever about the moral weaknesses that prevent us from acting in accordance with the ethical principles that we finally know so well. Research is discovering more and more mechanisms in the brain and in our psychology that affect humanity’s moral shortcomings.

Given this enormous and growing self-knowledge, why do we not develop artificial intelligence that supports a morally limping humanity? Why spend so much resources on developing even more intelligent artificial intelligence, which takes our jobs and might one day threaten humanity in the form of uncontrollable superintelligence? Why do we behave so unwisely when we could develop artificial intelligence to help us humans become superethical?

How can AI make morally weak humans super-ethical? The authors suggest a comparison with the fitness apps that help people to exercise more efficiently and regularly than they otherwise would. The authors’ suggestion is that our ethical knowledge of moral theories, combined with our growing scientific knowledge of moral weaknesses, can support the technological development of moral crutches: wise objects that support people precisely where we know that we are morally limping.

My personal assessment of this utopian proposal is that it might easily be realized in less utopian form. AI is already widely used as a support in decision-making. One could imagine mobile apps that support consumers to make ethical food choices in the grocery shop. Or computer games where consumers are trained to weigh different ethical considerations against each another, such as animal welfare, climate effects, ecological effects and much more. Nice looking presentations of the issues and encouraging music that make it fun to be moral.

The philosophical question I ask is whether such artificial decision support in shops and other situations really can be said to make humanity wiser and more ethical. Imagine a consumer who chooses among the vegetables, eagerly looking for decision support in the smartphone. What do you see? A human who, thanks to the mobile app, has become wiser than Socrates, who lived long before we knew as much about ourselves as we do today?

Ethical fitness apps are conceivable. However, the risk is that they spread a form of self-knowledge that flies above ourselves: self-knowledge suspiciously similar to the moral vice of self-satisfied presumptuousness.

Written by…

Pär Segerdahl, Associate Professor at the Centre for Research Ethics & Bioethics and editor of the Ethics Blog.

Pim Haselager & Giulio Mecacci (2020) Superethics Instead of Superintelligence: Know Thyself, and Apply Science Accordingly, AJOB Neuroscience, 11:2, 113-119, DOI: 10.1080/21507740.2020.1740353

The temptation of rhetoric

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Responsibly planned research communication

25 May, 2020 / Pär Segerdahl / 1 Comment

Academic research is driven by dissemination of results to peers at conferences and through publication in scientific journals. However, research results belong not only to the research community. They also belong to society. Therefore, results should reach not only your colleagues in the field or the specialists in adjacent fields. They should also reach outside the academy.

Who is out there? A homogeneous public? No, it is not that simple. Communicating research is not two activities: first communicating the science to peers and then telling the popular scientific story to the public. Outside the academy, we find engineers, entrepreneurs, politicians, government officials, teachers, students, research funders, taxpayers, healthcare professionals… We are all out there with our different experiences, functions and skills.

Research communication is therefore a strategically more complicated task than just “reaching the public.” Why do you want to communicate your results; why are they important? Who will find your results important? How do you want to communicate them? When is the best time to communicate? There is not just one task here. You have to think through what the task is in each particular case. For the task varies with the answers to these questions. Only when you can think strategically about the task can you communicate research responsibly.

Josepine Fernow is a skilled and experienced research communications officer at CRB. She works with communication in several research projects, including the Human Brain Project and STARBIOS2. In the latter project, about Responsible Research and Innovation (RRI), she contributes in a new book with arguments for responsibly planned research communication: Achieving impact: some arguments for designing a communications strategy.

Josepine Fernow’s contribution is, in my view, more than a convincing argument. It is an eye-opening text that helps researchers see more clearly their diverse relationships to society, and thereby their responsibilities. The academy is not a rock of knowledge in a sea of ignorant lay people. Society consists of experienced people who, because of what they know, can benefit from your research. It is easier to think strategically about research communication when you survey your relations to a diversified society that is already knowledgeable. Josepine Fernow’s argumentation helps and motivates you to do that.

Josepine Fernow also warns against exaggerating the significance of your results. Bioscience has potential to give us effective treatments for serious diseases, new crops that meet specific demands, and much more. Since we are all potential beneficiaries of such research, as future patients and consumers, we may want to believe the excessively wishful stories that some excessively ambitious researchers want to tell. We participate in a dangerous game of increasingly unrealistic hopes.

The name of this dangerous game is hype. Research hype can make it difficult for you to continue your research in the future, because of eroded trust. It can also make you prone to take unethical shortcuts. The “huge potential benefit” obscures your judgment as a responsible researcher.

In some research fields, it is extra difficult to avoid research hype, as exaggerated hopes seem inscribed in the very language of the field. An example is artificial intelligence (AI), where the use of psychological and neuroscientific vocabulary about machines can create the impression that one has already fulfilled the hopes. Anthropomorphic language can make it sound as if some machines already thought like humans and functioned like brains.

Responsible research communication is as important as difficult. Therefore, these tasks deserve our greatest attention. Read Josepine Fernow’s argumentation for carefully planned communication strategies. It will help you see more clearly your responsibility.

Finally, a reminder for those interested: the STARBIOS2 project organizes its final event via Zoom on Friday, May 29, 2020.

Written by…

Pär Segerdahl, Associate Professor at the Centre for Research Ethics & Bioethics and editor of the Ethics Blog.

Fernow, J. (2019). Note #11: Achieving impact: Some arguments for designing a communications strategy, In A. Declich (Ed.), RRI implementation in bioscience organisations: Guidelines from the STARBIOS2 project, (pp. 177-180). Uppsala University. ISBN: 978-91-506-2811-1

We care about communication

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Tag: Human Brain Project (Page 4 of 8)

Ethically responsible robot development

“Cooperative,” “pleasant” and “reliable” robot colleague is wanted

We shape the societies that shape us: our responsibility for human nature

What is required of an ethics of artificial intelligence?

Ethics as renewed clarity about new situations

Ethical frameworks for research

Diversity in research: why do we need it? (by Karin Grasenick & Julia Trattnig)

Working online during the pandemic: recommendations from the Human Brain Project

Ethical fitness apps for high performance morality

Responsibly planned research communication

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