Column
Biology
Creed
7 min read

Not just red in tooth and claw: biology's big debates

In the second of a series, biologist and priest, Andrew Davison, examines why it’s important to keep up with biology’s big debates.

Andrew works at the intersection of theology, science and philosophy. He is Canon and Regius Professor of Divinity at Christ Church, Oxford.

An osprey, in flight, holds a fish in its claws.
‘Wherever there’s water or air to navigate, the laws of fluid dynamics are bound to throw up wings, and bodies shaped like fish.’
Photo by Mathew Schwartz on Unsplash.

There’s hardly been a livelier time for evolutionary science than today; indeed, passions can run high. It’s not that Darwin’s vision of evolution is fundamentally in doubt: species adapt by natural selection, there’s variation between individuals, and those better adapted for their environment survive more often, passing on their genes to their children. In that, the theory of evolution stands, but many other parts of the evolutionary picture from the second half of the twentieth century are coming under criticism. That includes the following maxims:  

‘the only significant form of inheritance involves genetic code’, 

‘nothing that happens to an organism during its lifetime is passed on to its progeny’,  

‘we agree what we mean by “species”’,  

‘genes pass down the branches of the tree of life, not between them’,  

and ‘evolution is fundamentally all about competition, not cooperation’. 

Among the excellent crop of writers on these themes, Eva Jablonka and Marion Lamb stand out for their elegant prose, and a gift for communicating complex ideas clearly. As they recognise, the standard mid-twentieth century model of evolution might be worth criticising, but it’s also landed all sorts of important basic points. (They list ten.) The shortfall of the earlier, dominant theory was in being too narrow, with each insight too quickly eclipsing others.  

Here are two examples. First, the classic twentieth century picture saw inheritance in terms of DNA and genes, passed on by ‘germline’ cells, such sperm and pollen. That’s all true, but it shouldn’t restrict our wider view of inheritance to that. Today, writers such as Jablonka and Lamb stress that organisms inherit from their parents (or parent) in all sorts of ways.  

A second plank of the twentieth century picture is that evolution involves descent from a common ancestor. Again, that says something vital, even central, accepted by evolutionist old and new. The twentieth century position, however, added a restriction: that’s all that’s important on this score. The newer perspective recognises that while genes are – of course – central, and passed on from parent to child, organisms also swap genes between themselves (between branches of the tree of life, not just along those branches), even between very different species. 

If we’re not careful, what’s written and taught (not least by theologians), even with the best will in the world, will be thirty or even fifty years out of date. 

There’s a lot of excitement around these sorts of claims (and, remember, Jablonka and Lamb make eight more), and that can get quite noisy. Defenders of the older, narrower picture typically say that the newer themes are simply fuss over minor points. Advocates of the newer perspective disagree, saying that the twentieth century picture risks missing some important features of biology, which are now coming into better focus. 

Why such debates matters 

Why might this ferment among biologists matter for a site like this one, and for theologians, and discussions of religious matters? Well, for one thing, as I pointed out in my previous article, nothing quite dissolves the supposed animosity between science and religion (which is, after all, a relatively recent invention) like theologians and religious people getting excited about biology. It’s also important that any humanities scholar, the theologian among them, who’s engaging with science should keep up to date. If we’re not careful, what’s written and taught (not least by theologians), even with the best will in the world, will be thirty or even fifty years out of date. 

But there’s more at stake. As we have seen, the twentieth century picture, for all it brought an admirable clarity to evolutionary thought, was reductionistic. We see that in Jablonka and Lamb’s exhortation to scientists: ‘yes, stress x, but don’t think that means you have to deny y.’ A religious vision tends to be an expansive one. It wants to recognise the reality and value of all sorts of things. Yes, there’s matter, atoms, molecules, and genes, but there’s also organisms, agents, cultures, groups, economies, hopes, loves. They’re all real. We can’t reduce one to the other: not organisms to genes, or agents to economies. A turn from reduction is welcome. 

More than that, almost everything in the emerging twenty-first century view of evolution is fascinating from a theological perspective.  

Take convergence, for instance. It turns out that evolution isn’t just driven by randomness, or by the demands of the surroundings. Also important are various features of physics, or mathematics – the contours of reality – that throw up elegant solutions to evolutionary problems, which are adopted by evolution time and again. Wherever you need to sturdy and space-efficient packing of cells (as in a honey comb, or a a wasp’s nest), the hexagon is ready and waiting.  Wherever there’s water or air to navigate, the laws of fluid dynamics are bound to throw up wings, and bodies shaped like fish, dolphins, and penguins (which are all quite similar in shape).  

How do we know this? Because evolution has converged on wings and that body shape independently, many times, as also on eyes, and everything else that Simon Conway Morris lists in the nine closely printed columns of convergences in the index to his book Life’s Solution. Evolution certainly involves randomness and need, but alongside them is something more like Plato’s forms: timeless realities, there to be discovered and put to work. Among the more theological of these eternal verities, covered in Conway Morris’s book, are perception, intelligence, community, communication, cooperation, altruism, farming, or construction 

 Exceeding a zero-sum game 

Then there’s cooperation. Ever since Darwin’s Origin was published, and, even more, ever since Tennyson wrote about nature ‘red in tooth and claw’, theologians have been embarrassed about the place of cooperation in their vision of the world. Now, however, it turns out, competition isn’t the only force at work in biology or evolution after all. One of the features of reality that evolution discovers and puts to work again and again is cooperation, and ways to exceed a ‘zero-sum’ game. We see that in cooperation within a species, but also in cooperation between species, which is ubiquitous in nature: called mutualism, it’s found everywhere. As a rule, once two species stick around in proximity for the long run, down many generations, their relationship will turn to mutual benefit.  

Ethicists are often wary of the suggestion that we can look at the way things are, and read a moral code there (getting an ‘ought’ from an ‘is’), but it’s an unusual person whose vision of right and wrong isn’t shaped, to some degree, by a sense of what the world is like. Well, it turns out that nature bears witness to the enduring worth of cooperation, and not only to competition.   

In the first of these articles on biology, I pointed out the significance of ethics in thinking about biology, and about evolution in particular. For better or worse, and often for worse, thinking about evolution has been an ethical, social, political story. The evolutionary has been put to work for immoral, ends. It turns out to be wrong twice over to suppose evolution commends only competition. It’s wrong, first of all, because we are rational creatures, who can aspire to an understanding of good and evil that transcends the realm of nature. But also, as we now see, it’s wrong even to suppose the nature is only red in tooth and claw. There’s competition, but there’s also a lot of cooperation.  

 

Suggested further reading 

Archibald, John. 2014. One Plus One Equals One: Symbiosis and the Evolution of Complex Life. Oxford: Oxford University Press. An accessible introduction to biological mutualism, with an emphasis on the role of hybrid organisms (one living inside another) in major evolutionary transitions. 

Bronstein, Judith L., ed. 2015. Mutualism. Oxford: Oxford University Press. The new standard treatment of biological mutualism. 

Morris, Simon Conway. 2008. Life’s Solution: Inevitable Humans in a Lonely Universe. Cambridge: Cambridge University Press. A comprehensive discussion of convergence in evolution. 

Day, Troy, and Russell Bonduriansky. 2018. Extended Heredity: A New Understanding of Inheritance and Evolution. Princeton, NJ: Princeton University Press. An engaging introduction to a broadened picture of inheritance. 

Davison, Andrew. 2020a. Biological Mutualism: A Scientific Survey. Theology and Science 18 (2): 190–210. An accessible survey of some of the science of biological mutualism. 

———. 2020b. Christian Doctrine and Biological Mutualism: Some Explorations in Systematic and Philosophical Theology. Theology and Science 18 (2): 258–78. A foray into some of the significance of mutualism for Christian theology. 

Jablonka, Eva, and Marion Lamb. 2020. Inheritance Systems and the Extended Synthesis. Cambridge University Press. A short discussion of many of the more expansive aspects proposed for contemporary evolutionary thought. 

Jablonka, Eva, Marion J. Lamb, and Anna Zeligowski. 2014. Evolution in Four Dimensions: Genetic, Epigenetic, Behavioral, and Symbolic Variation in the History of Life. Revised edition. Cambridge, MA: MIT Press. One of the most substantial discussions of the new perspective. 

Laland, Kevin, Tobias Uller, arc Feldman, Kim Sterelny, Gerd B. Müller, Armin Moczek, Eva Jablonka, et al. 2014. Does Evolutionary Theory Need a Rethink? Nature 514 (7521): 161–64. MA short two-sided piece, asking whether a transformation in evolutionary thinking is under way.  

Explainer
AI
Belief
Creed
5 min read

Whether it's AI or us, it's OK to be ignorant

Our search for answers begins by recognising that we don’t have them.

Simon Walters is Curate at Holy Trinity Huddersfield.

A street sticker displays multiple lines reading 'and then?'
Stephen Harlan on Unsplash.

When was the last time you admitted you didn’t know something? I don’t say it as much as I ought to. I’ve certainly felt the consequences of admitting ignorance – of being ridiculed for being entirely unaware of a pop culture reference, of being found out that I wasn’t paying as close attention to what my partner was saying as she expected. In a hyper-connected age when the wealth of human knowledge is at our fingertips, ignorance can hardly be viewed as a virtue. 

A recent study on the development of artificial intelligence holds out more hope for the value of admitting our ignorance than we might have previously imagined. Despite wide-spread hype and fearmongering about the perils of AI, our current models are in many ways developed in similar ways to how an animal is trained. An AI system such as ChatGPT might have access to unimaginable amounts of information, but it requires training by humans on what information is valuable or not, whether it has appropriately understood the request it has received, and whether its answer is correct. The idea is that human feedback helps the AI to hone its model through positive feedback for correct answers, and negative feedback for incorrect answers, so that it keeps whatever method led to positive feedback and changes whatever method led to negative feedback. It really isn’t that far away from how animals are trained. 

However, a problem has emerged. AI systems have become adept at giving coherent and convincing sounding answers that are entirely incorrect. How has this happened? 

This is a tool; it is good at some tasks, and less good at others. And, like all tools, it does not have an intrinsic morality. 

In digging into the training method for AI, the researchers found that the humans training the AI flagged answers of “I don’t know” as unsatisfactory. On one level this makes sense. The whole purpose of these systems is to provide answers, after all. But rather than causing the AI to return and rethink its data, it instead developed increasingly convincing answers that were not true whatsoever, to the point where the human supervisors didn’t flag sufficiently convincing answers as wrong because they themselves didn’t realise that they were wrong. The result is that “the more difficult the question and the more advanced model you use, the more likely you are to get well-packaged, plausible nonsense as your answer.” 

Uncovering some of what is going on in AI systems dispels both the fervent hype that artificial intelligence might be our saviour, and the deep fear that it might be our societal downfall. This is a tool; it is good at some tasks, and less good at others. And, like all tools, it does not have an intrinsic morality. Whether it is used for good or ill depends on the approach of the humans that use it. 

But this study also uncovers our strained relationship with ignorance. Problems arise in the answers given by systems like ChatGPT because a convincing answer is valued more than admitting ignorance, even if the convincing answer is not at all correct. Because the AI has been trained to avoid admitting it doesn’t know something, all of its answers are less reliable, even the ones that are actually correct.  

This is not a problem limited to artificial intelligence. I had a friend who seemed incapable of admitting that he didn’t know something, and whenever he was corrected by someone else, he would make it sound like his first answer was actually the correct one, rather than whatever he had said. I don’t know how aware he was that he did this, but the result was that I didn’t particularly trust whatever he said to be correct. Paradoxically, had he admitted his ignorance more readily, I would have believed him to be less ignorant. 

It is strange that admitting ignorance is so avoided. After all, it is in many ways our default state. No one faults a baby or a child for not knowing things. If anything, we expect ignorance to be a fuel for curiosity. Our search for answers begins in the recognition that we don’t have them. And in an age where approximately 500 hours of video is uploaded to YouTube every minute, the sum of what we don’t know must by necessity be vastly greater than all that we do know. What any one of us can know is only a small fraction of all there is to know. 

Crucially, admitting we do not know everything is not the same as saying that we do not know anything

One of the gifts of Christian theology is an ability to recognize what it is that makes us human. One of these things is the fact that any created thing is, by definition, limited. God alone is the only one who can be described by the ‘omnis’. He is omnipotent, omnipresent, and omniscient. There is no limit to his power, and presence, and knowledge. The distinction between creator and creation means that created things have limits to their power, presence, and knowledge. We cannot do whatever we want. We cannot be everywhere at the same time. And we cannot know everything there is to be known.  

Projecting infinite knowledge is essentially claiming to be God. Admitting our ignorance is therefore merely recognizing our nature as created beings, acknowledging to one another that we are not God and therefore cannot know everything. But, crucially, admitting we do not know everything is not the same as saying that we do not know anything. Our God-given nature is one of discovery and learning. I sometimes like to imagine God’s delight in our discovery of some previously unknown facet of his creation, as he gets to share with us in all that he has made. Perhaps what really matters is what we do with our ignorance. Will we simply remain satisfied not to know, or will it turn us outwards to delight in the new things that lie behind every corner? 

For the developers of ChatGPT and the like, there is also a reminder here that we ought not to expect AI to take on the attributes of God. AI used well in the hands of humans may yet do extraordinary things for us, but it will not truly be able to do anything, be everywhere, or know everything. Perhaps if it was trained to say ‘I don’t know’ a little more, we might all learn a little more about the nature of the world God has made.