Human behaviour and the Science of Data
Human behaviour and the Science of Data
An interview with Christophe Cop on statistics, predictions and the human brain
August 4 2022
In our new episode of Humanizing Technology, we dive into philosophy and what makes humans tick. I’m your host, Nina Müller, director of the Ethical Commerce Alliance (ECA). Our guest, Christophe Cop, is the brain behind Konsolidate, a startup from Antwerp whose work is based on Solid, a decentralisation project that allows people to regain control over their personal data.
And I’m happy to say, Konsolidate is now an ECA partner.
When I first met Christophe, he told me he studied Data Science and holds a university degree in psychology — two disciplines as different as night and day — and I was intrigued. So we spoke about his choice of fields, how they go together despite their seeming contradiction, and how that helped him shape Konsolidate.
All science is based on data
He explains that psychology has so many different layers of complexity; it is a vast field to explore with influences from neuroscience to social psychology ‘and everything in between’. This is part of what makes it more challenging to measure. Still, as a science, there must be some measurable data at heart to make it universally accessible and, well, measurable.
On the other hand, Data Science is much more straightforward and, as Christophe points out, a funny term since all science is based on data. But Data Science is about applying scientific methods to gain insights and learn things often applied in businesses to solve specific problems as part of bigger business processes.
In psychology, that is precisely applied: the evaluation and measurement of data to gain insights and measure them. IQ or personality measures are examples of this and, in fact, are based on factor analysis, a statistical technique developed initially by theoretical psychologists.
Applying insights in Konsolidate
Equipped with knowledge, Christophe finds vast opportunities to put it into practice in his work with Konsolidate.
‘As Solid is all about personal data, our behaviour and the digital traces we leave online, we want to put that back under the control of the person who owns that data. So my knowledge as a data scientist on gaining insights from data and how to derive meaning from it makes that work much better.’
Furthermore, Solid works with the idea of semantic data, which solves many data cleaning issues a data scientist faces. It also helps to become readable for humans and computers and connect meaningfully in a knowledge graph.
Another important aspect, and a crucial point of where data science and psychology meet in Christophe’s work, is that this data contains a lot of information about you as a person and your preferences.
This can be used to influence you: to nudge you into consent, buy a product or vote for a specific party or leader, for example. This is a risk as it influences the way we act. Konsolidate aims to mitigate that and build solutions that give people back control over their data.
In data we trust - or do we?
The term ‘influence’ seems relatively neutral or even positive when our behaviour is actually steered in a direction we might not have intended. We discussed the connotations of influence vs manipulation and how much power can be exercised over others by accessing their data.
How much trust are you willing to give? How much trust do others give you? What if you decide to exploit that?
Christophe reminds us:
‘We are social creatures and part of that means trying to influence each other every day. From trying to take out the trash to getting a better education and trying to cooperate, so we can live together in a better way.’
But no matter whether you call it the negative connotated manipulation or the positively inflicted influencing. It always comes back to trust, giving and earning trust in return. The negative feeling of being manipulated and tricked into certain behaviours will prevail with terrible consequences regarding how we interact with each other.
The gist is that online, the harmful consequences of sharing personal information are so well disguised that we cannot see the potential harm in sharing pictures and opinions on social media. When we discover our data has been used in a way, we didn’t clearly consent to, our trust in social media decreases.
Privacy is an important part of this, but at the same time, we are social beings and want to share things with others about our lives: show pictures of our cats, or the baby, etc., but we don’t want that information to be used against us. Which essentially is the opposite of “social” in social media. If anyone had known, no one would have signed up for this in the first place.
The mind, the body, and human behaviour
After asking ‘Where do mind and body meet?’ a question Christophe found odd because, he explains, for him, the mind is an emergent property of a functional brain. He explains substrate indifference of information processing as a concept, meaning that the information we supply is independent of its carrier ( audio, video, written, etc.). So, in theory, it doesn’t matter if the information is stored and processed on a silicone substrate’s mind or on a watery fatty carbon substrate which makes up our central nervous system.
We further venture into a philosophical questioning of a connection or separation of body and soul to discover what brings life to the body and what makes human behaviour.
Dipping into the realm of AI: What is an artificial mind anyway, and is it possible for it to ‘learn’ like we do as humans, with senses, speech and physical movement to support us? Christophe reckons that, in principle, it is entirely possible, even though we are not there yet and undermines this point with some good examples.
He continues to state AI benefits in detecting patterns in vast amounts of data to support, e.g. cancer research on a scale that humans would never be able to do and have a very positive effect on research results.
The podcast concludes on the possibility of predicting human behaviour with statistics, where Christophe explains that statistics are used all the time to improve sales and predict outcomes. Not on an individual level, but on a broad mass of people, those can be used profitably. However, the exact same processes have been employed to manipulate voter behaviour and steer outcomes, so the risks of exploiting can be rather harmful. This is why it is so important to know about those risks and better protect your privacy with projects like Konsolidate or the ECA, as the individual alone can not find sufficient protection online at this point.