big data – Fluffy Sciences

Amazon have put all five seasons of Person of Interest on Prime. Person of Interest is an amazing exploration of what it might cost humanity to create artificial intelligence, and its beautifully prescient given Amazon’s recent Alexa data breach where a user was able to access another user’s recordings.

In my book (which if you’re looking for a last minute Christmas gift, do check it out) I talk about how we might end up studying personality through artificial intelligence, and the ethics of how we might consider this data use.

I’m delighted with my Christmas present of Person of Interest. I cry the whole way through this show. It is amazing. But I also have an Alexa sitting in my house, and a Google phone. Occasionally my phone flashes its screen, saying “I didn’t recognise your voice”, much like Athena’s ears prick when she’s snoozing and hears me get to my feet. Do I need to listen for you right now?

On the other hand, in 2018 I’ve also had to balance the issue of not having ethics committee permission to share sensitive data and the challenges that has caused for making my research open and reproducible. I am proud particularly of this repository which will be elaborated on in a publication next year – how we can be reproducible when we’re dealing with data that should be confidential. But yes, privacy is a challenge.

And it’s a very strange conversation to have in December. He sees you when you’re sleeping, he knows when you’re awake . . .

Recently, I was asked how old I was when I understood about Santa. It actually ties in to my first experience with religion. I was raised without any religion whatsoever, and when I got to school I was introduced to this whole new concept. That my own mind and actions were not my own private space, that someone or something might be watching. I made a deal with this ‘God’ (who I pictured as Danny Devito in a toga, I do not know why). If I was very good, he would reward me with a hotdog on Friday at lunch time. As one of the Mac kids, I was always at the middle of the lunch queue and the hot dogs were always gone. So I was very, very good for a whole week. I did the praying. I was kind. And on Friday . . . there was no hot dog.

The only other experience I had with religion was one of my grandfathers who had cryptically said “Any God who doesn’t want me isn’t a God I want to believe in”, and at the age of 5 I sanguinely accepted this logic, and decided the lack of hot dog meant God had no interest in my soul. That Christmas I tried this logic again, and created my perfect toy (a My Little Pony toy of my favourite character – except there would be movable bits). Santa did not come through.

We teach morality to children with the idea of oversight. Perhaps not entirely, but ‘being watched’ is a large component of how we learn our own moral frameworks. The Good Place has made an excellent TV show exploring the concept of being constantly observed (and measured). It’s probably not a coincidence that we’re interested in these stories right now. But it’s also not a coincidence that I got thinking about this after realising I knew more than I wanted to about my new neighbours.

Ultimately I think data collection and analysis is an organic process, and it’s very hard to draw a line over ‘good data collection and analysis’ and ‘bad data collection and analysis’. Amazon absolutely should not be sending clips of audio to a random stranger. But should I hear random snippets from my neighbours’ lives? How often should we accept being ‘overheard’ as a price of being digital neighbours?

I don’t have an answer for this – or even a reason to blog about it on Christmas eve. I just think it’s a very interesting question.

In 2013 Nelson & Fijn published an absolutely brilliant paper in Animal Behaviour. It’s called ‘The use of visual media as a tool for investigating animal behaviour‘ and it’s about watching animals on YouTube.

I watch a lot of animals on YouTube so I love this paper. It provides a methodology for using YouTube videos in animal studies, all very simple rules, like not using videos with editing and the like.

Why is this important? How can YouTube contribute to the study of animal behaviour? Well have you seen this video? It was doing the rounds on the internet recently.

The video’s description says that the dog has become protective of the unborn baby, going so far as to defend the baby bump from the soon-to-be-dad. It’s a cute story and makes for good internet memes. I have to be honest that as a behaviour scientist my immediate reaction was to roll my eyes.

How does a dog know what pregnancy is, or that it will result in a baby that will be part of the family? How does a dog even know that a baby is a thing to be protected? But as I thought about this I remembered our old cat who became fascinated with my mum’s belly when she was pregnant. According to my mum all her cats have been fascinated by her pregnancies. I’m sure they hear the second heart beat and it must be a fascinating thing for them.

This dog, I thought, is probably just responding to some weird behavioural cue that its owner is giving it. Like the well known story of Clever Hans, the horse who could count by reading its owner’s behaviour. This is actually a well known behavioural phenomenon, and is blamed for things like your dog looking guilty when its done something wrong (Horowitz, 2009).

Oh if only in this age of connectivity, I could somehow ask the owner if she might be aware of any cues . . .

It turns out the protective dog in this video is called Tebow, a 2 year old dog owned by Mekesha and her partner Justin. 3 weeks from her due date, Mekesha found the time to answer some of my questions.

As it turns out, Tebow is fascinated with Mekesha’s belly at the moment, just as I remember my cat being fascinated by my mum’s. Tebow will sit beside Mekesha with his head on her belly, or will lick it if he gets the chance. He’s also devoted to Justin’s young nephew and their younger dog, also in the video.

Something I thought was really interesting is that Mekesha wanted people to know Tebow isn’t an aggressive or mean dog. In fact she’s pretty upset that people think he might be. In the video you can see she’s laughing and she says everyone found it funny. As for whether she might be anxious in some way that Tebow is picking up on . . .

We have found it hilarious ever since, not threatening. I have no anxiety about my belly being touched and I actually don’t mind people doing it, I do know that certain pregnant woman who hate it, I am not that way.

I think that seems pretty certain! Of course, you can always argue that perhaps there’s some subconscious anxiety, that perhaps the anxiety is coming from Justin and not Mekesha – there are a hundred ways to interpret this video. But it’s interesting that most people who view it go with the ‘anthropomorphic’ one. That Tebow is protecting his family, even the ones he might not quite understand.

It might be easy to say “well this is somebody and their pet, of course they’re going to think the best of them”, but for another video doing the rounds this week:

National Geographic photographer describes a leopard seal’s attempts to feed him, graduating from live prey, to hurt prey, to dead prey, to partially eaten prey, as the seal becomes more and more convinced the photographer was incapable of feeding himself.

We should never forget that animals don’t think like we do. They don’t process the world like we do. But that doesn’t mean we should dismiss the similarities we do have in common. Videos like this get to the very essence of animal behaviour science – why do animals behave in the way the do? YouTube, and the internet, will help us by showing us more and more examples of these strange behaviours. What was once an odd story about something your friend’s dog did, becomes something an animal behaviour scientist might be able to analyse.

Plus I just want to get some funding to sit around on YouTube all day. Ethologists of the world, who’s with me?!

Tag: big data

Naughty and Nice

LolCats and Doge, YouTube and Animal Behaviour