The Ethics Blog

A blog from the Centre for Research Ethics & Bioethics (CRB)

Month: April 2020

Inspiration for responsible research and innovation

STARBIOS2 guideline books
27 April, 2020 / / 1 Comment

Our attitude to science is changing. Can we talk solemnly about it anymore as a unified endeavor, or even about sciences? It seems more apt to talk about research activities that produce useful and applicable knowledge.

Science has been dethroned, it seems. In the past, we revered it as free and independent search for the truth. We esteemed it as our tribunal of truth, as the last arbiter of truth. Today, we demand that it brings benefits and adapts to society. The change is full of tension because we still want to use scientific expertise as a higher intellectual authority. Should we bow to the experts or correct them if they do not deliver the “right knowledge” or the “desirable facts”?

Responsible Research and Innovation (RRI) is an attempt to manage this risky change, adapting science to new social requirements. As you hear from the name, RRI is partly an expression of the same basic attitude change. One could perhaps view RRI as the responsible dethroning of science.

Some mourn the dethroning, others rejoice. Here I just want to link RRI to the changed attitude to science. RRI handles a change that is basically affirmed. The ambiguous attitude to scientific expertise, mentioned above, shows how important it is that we take responsibility for people’s trust in what is now called research and innovation. For why should we listen to representatives of a sector with such unholy designation?

RRI is introduced in European research within the Horizon 2020 programme. Several projects are specifically about implementing and studying RRI. Important aspects of RRI are gender equality, open access publishing, science education, research communication, public engagement and ethics. It is about adapting research and innovation to a society with new hopes and demands on what we proudly called science.

A new book describes experiences of implementing RRI in a number of bioscience organizations around the world. The book is written within the EU-project, STARBIOS2. In collaboration with partners in Europe, Africa and the Americas, this project planned and implemented several RRI initiatives and reflected on the work process. The purpose of STARBIOS2 has been to change organizations durably and structurally. The book aims to help readers formulate their own action plans and initiate structural changes in their organizations.

The cover describes the book as guidelines. However, you will not find formulated guidelines. What you will find, and which might be more helpful, is self-reflection on concrete examples of how to work with RRI action plans. You will find suggestions on how to emphasize responsibility in research and development. Thus, you can read about efforts to support gender equality, improve exchange with the public and with society, support open access publication, and improve ethics. Read and be inspired!

Finally, I would like to mention that the Ethics Blog, as well as our ethics activities here at CRB, could be regarded as examples of RRI. I plan to return later with a post on research communication.

The STARBIOS2 project is organising a virtual final event on 29 May! Have a look at the preliminary programme!

Pär Segerdahl

Written by…

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

Declich, Andrea. 2019. RRI implementation in bioscience organisations: Guidelines from the STARBIOS2 project.

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Anthropomorphism in AI can limit scientific and technological development

smiling robot making eye contact
15 April, 2020 / / 1 Comment

Anthropomorphism almost seems inscribed in research on artificial intelligence (AI). Ever since the beginning of the field, machines have been portrayed in terms that normally describe human abilities, such as understanding and learning. The emphasis is on similarities between humans and machines, while differences are downplayed. Like when it is claimed that machines can perform the same psychological tasks that humans perform, such as making decisions and solving problems, with the supposedly insignificant difference that machines do it “automated.”

You can read more about this in an enlightening discussion of anthropomorphism in and around AI, written by Arleen Salles, Kathinka Evers and Michele Farisco, all at CRB and the Human Brain Project. The article is published in AJOB Neuroscience.

The article draws particular attention to so-called brain-inspired AI research, where technology development draws inspiration from what we know about the functioning of the brain. Here, close relationships are emphasized between AI and neuroscience: bonds that are considered to be decisive for developments in both fields of research. Neuroscience needs inspiration from AI research it is claimed, just as AI research needs inspiration from brain research.

The article warns that this idea of ​​a close relationship between the two fields presupposes an anthropomorphic interpretation of AI. In fact, brain-inspired AI multiplies the conceptual double exposures by projecting not only psychological but also neuroscientific concepts onto machines. AI researchers talk about artificial neurons, synapses and neural networks in computers, as if they incorporated artificial brain tissue into the machines.

An overlooked risk of anthropomorphism in AI, according to the authors, is that it can conceal essential characteristics of the technology that make it fundamentally different from human intelligence. In fact, anthropomorphism risks limiting scientific and technological development in AI, since it binds AI to the human brain as privileged source of inspiration. Anthropomorphism can also entice brain research to uncritically use AI as a model for how the brain works.

Of course, the authors do not deny that AI and neuroscience mutually support each other and should cooperate. However, in order for cooperation to work well, and not limit scientific and technological development, philosophical thinking is also needed. We need to clarify conceptual differences between humans and machines, brains and computers. We need to free ourselves from the tendency to exaggerate similarities, which can be more verbal than real. We also need to pay attention to deep-rooted differences between humans and machines, and learn from the differences.

Anthropomorphism in AI risks encouraging irresponsible research communication, the authors further write. This is because exaggerated hopes (hype) seem intrinsic to the anthropomorphic language. By talking about computers in psychological and neurological terms, it sounds as if these machines already essentially functioned as human brains. The authors speak of an anthropomorphic hype around neural network algorithms.

Philosophy can thus also contribute to responsible research communication about artificial intelligence. Such communication draws attention to exaggerated claims and hopes inscribed in the anthropomorphic language of the field. It counteracts the tendency to exaggerate similarities between humans and machines, which rarely go as deep as the projected words make it sound.

In short, differences can be as important and instructive as similarities. Not only in philosophy, but also in science, technology and responsible research communication.

Pär Segerdahl

Written by…

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

Arleen Salles, Kathinka Evers & Michele Farisco (2020) Anthropomorphism in AI, AJOB Neuroscience, 11:2, 88-95, DOI: 10.1080/21507740.2020.1740350

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We cannot control everything: the philosophical dimensions of life

dandelion seeds blowing away
9 April, 2020 / / 1 Comment

Life always surpasses us. We thought we were in control, but then something unexpected happens that seems to upset the order. A storm, a forest fire, a pandemic. Life appears as a drawing in sand, the contours of which suddenly dissolve.

Of course, it is not that definitive. Even a storm, a forest fire, a pandemic, will pass. The contours of life return, in somewhat new forms. However, the unexpected reminded us that life is greater than our ability to control it. My question in this post is how we balance the will to control life against the knowledge that life always surpasses us.

That life is greater than our ability to control it is evident not only in the form of storms, forest fires and pandemics. It is evident also in the form of nice varying weather, growing forests and good health. Certainly, medicine contributes to better health. Nevertheless, it is not thanks to any pills that blood circulates in our bodies and food becomes nourishment for our cells. We are rightly grateful to medicine, which helps the sick. However, maybe we could devote life itself a thought of gratitude sometimes. Is not the body fantastic, which develops immunity in contact with viruses? Are not the forests and the climate wonderful, providing oxygen, sun and rain? And consider nature, on which we are like outgrowths, almost as fruits on a tree.

Many people probably want to object that it is pointless to philosophize about things that we cannot change. Why waste time reflecting on the uncontrollable dimensions of life, when we can develop new medicines? Should we not focus all our efforts on improving the world?

I just point out that we then reason as the artist who thought himself capable of painting only the foreground, without background. As though the background was a distraction from the foreground. However, if you want to emphasize the foreground, you must also pay attention to the background. Then the foreground appears. The foreground needs to be embraced by the background. Small and large presuppose each other.

Our desire to control life works more wisely, I believe, if we acknowledge our inevitable dependence on a larger, embracing background. As I said, we cannot control everything, just as an artist cannot paint only the foreground. I want to suggest that we can view philosophy as an activity that reminds us of that. It helps us see the controllable in the light of the uncontrollable. It reminds us of the larger context: the background that the human intellect does not master, but must presuppose and interact with wisely.

It does not have to be dramatic. Even everyday life has philosophical dimensions that exceed our conscious control. Children learn to talk beyond their parents’ control, without either curricula or examinations. No language teacher in the world can teach a toddler to talk through lessons in a classroom. It can only happen spontaneously and boundlessly, in the midst of life. Only those who already speak can learn language through lessons in a classroom.

The ability to talk is thus the background to language teaching in the classroom. A language teacher can plan the lessons in detail. The youngest children’s language acquisition, on the other hand, is so inextricably linked to what it is to live as a human being that it exceeds the intellect’s ability to organize and govern. We can only remind ourselves of the difference between foreground and background in language. Here follows such a philosophical reminder. A parent of a schoolchild can say, “Now you’ve been studying French for two hours and need a break: go out and play.” However, a parent of a small child who is beginning to talk cannot say, “Now you’ve been talking for two hours and need a break: go out and play!” The child talks constantly. It learns in the midst of playing, in the midst of life, beyond control. Therefore, the child has no breaks.

Had Herb Terrace seen the difference between foreground and background in language, he would never have used the insane method of training sign language with the chimpanzee Nim in a special classroom, as if Nim were a schoolchild who could already speak. Sometimes we need a bit of philosophy (a bit of reason) for our projects to work. Foreground and background interact everywhere. Our welfare systems do not work unless we fundamentally live by our own power, or by life’s own power. Pandemics hardly subside without the virus moving through sufficiently many of our, thereafter, immune bodies – under controlled forms that protect groups at risk and provide the severely ill care. Everywhere, foreground and background, controllable and uncontrollable, interact.

The dream of complete intellectual control is therefore a pitfall when we philosophize. At least if we need philosophy to elucidate the living background of what lies within human control. Then we cannot strive to define life as a single intellectually controllable foreground. A bit of philosophy can help us see the interplay between foreground and background. It can help us live actively and act wisely in the zone between controllable and uncontrollable.

Pär Segerdahl

Written by…

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

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Proceed carefully with vaccine against covid-19

vaccination
4 April, 2020 / / 0 Comments

Pharmaceutical companies want to quickly manufacture a vaccine against covid-19, with human testing and launch in the market as soon as possible. In a debate article, Jessica Nihlén Fahlquist at CRB warns of the risk of losing the larger risk perspective: “Tests on people and a potential premature mass vaccination entail risks. It is easy to forget about similar situations in the past,” she writes.

It may take time for side effects to appear. Unfortunately, it therefore also takes time to develop new safe vaccines. We need to develop a vaccine, but even with new vaccines, caution is needed.

The article is in Swedish. If you want to Google translate: Proceed carefully with vaccine against covid-19

Pär Segerdahl

Written by…

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

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What is a moral machine?

crowd
1 April, 2020 / / 3 Comments

I recently read an article about so-called moral robots, which I found clarifying in many ways. The philosopher John-Stewart Gordon points out pitfalls that non-ethicists – robotics researchers and AI programmers – may fall into when they try to construct moral machines. Simply because they lack ethical expertise.

The first pitfall is the rookie mistakes. One might naively identify ethics with certain famous bioethical principles, as if ethics could not be anything but so-called “principlism.” Or, it is believed that computer systems, through automated analysis of individual cases, can “learn” ethical principles and “become moral,” as if morality could be discovered experientially or empirically.

The second challenge has to do with the fact that the ethics experts themselves disagree about the “right” moral theory. There are several competing ethical theories (utilitarianism, deontology, virtue ethics and more). What moral template should programmers use when getting computers to solve moral problems and dilemmas that arise in different activities? (Consider self-driving cars in difficult traffic situations.)

The first pitfall can be addressed with more knowledge of ethics. How do we handle the second challenge? Should we allow programmers to choose moral theory as it suits them? Should we allow both utilitarian and deontological robot cars on our streets?

John-Stewart Gordon’s suggestion is that so-called machine ethics should focus on the similarities between different moral theories regarding what one should not do. Robots should be provided with a binding list of things that must be avoided as immoral. With this restriction, the robots then have leeway to use and balance the plurality of moral theories to solve moral problems in a variety of ways.

In conclusion, researchers and engineers in robotics and AI should consult the ethics experts so that they can avoid the rookie mistakes and understand the methodological problems that arise when not even the experts in the field can agree about the right moral theory.

All this seems both wise and clarifying in many ways. At the same time, I feel genuinely confused about the very idea of ​​”moral machines” (although the article is not intended to discuss the idea, but focuses on ethical challenges for engineers). What does the idea mean? Not that I doubt that we can design artificial intelligence according to ethical requirements. We may not want robot cars to avoid collisions in city traffic by turning onto sidewalks where many people walk. In that sense, there may be ethical software, much like there are ethical funds. We could talk about moral and immoral robot cars as straightforwardly as we talk about ethical and unethical funds.

Still, as I mentioned, I feel uncertain. Why? I started by writing about “so-called” moral robots. I did so because I am not comfortable talking about moral machines, although I am open to suggestions about what it could mean. I think that what confuses me is that moral machines are largely mentioned without qualifying expressions, as if everyone ought to know what it should mean. Ethical experts disagree on the “right” moral theory. However, they seem to agree that moral theory determines what a moral decision is; much like grammar determines what a grammatical sentence is. With that faith in moral theory, one need not contemplate what a moral machine might be. It is simply a machine that makes decisions according to accepted moral theory. However, do machines make decisions in the same sense as humans do?

Maybe it is about emphasis. We talk about ethical funds without feeling dizzy because a stock fund is said to be ethical (“Can they be humorous too?”). There is no mythological emphasis in the talk of ethical funds. In the same way, we can talk about ethical robot cars without feeling dizzy as if we faced something supernatural. However, in the philosophical discussion of machine ethics, moral machines are sometimes mentioned in a mythological way, it seems to me. As if a centaur, a machine-human, will soon see the light of day. At the same time, we are not supposed to feel dizzy concerning these brave new centaurs, since the experts can spell out exactly what they are talking about. Having all the accepted templates in their hands, they do not need any qualifying expressions!

I suspect that also ethical expertise can be a philosophical pitfall when we intellectually approach so-called moral machines. The expert attitude can silence the confusing questions that we all need time to contemplate when honest doubts rebel against the claim to know.

Pär Segerdahl

Written by…

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

Gordon, J. Building Moral Robots: Ethical Pitfalls and Challenges. Sci Eng Ethics 26, 141–157 (2020).

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