Athena Peppes

Yeah, I'd say it's a huge issue, as you say, and there's like so much to think about. I think it can also feel, my thing is always how to simplify stuff, right? And because it can feel like, where do I start? I always have in my mind kind of five things to structure a conversation around this and to help

Yeah, I'd say it's a huge issue, as you say, and there's like so much to think about. I think it can also feel, my thing is always how to simplify stuff, right? And because it can feel like, where do I start? I always have in my mind kind of five things to structure a conversation around this and to help

think through different issues the first is around accountability who is accountable for the information that your AI enabled bot gives now this might seem like a straightforward question but there was an interesting case earlier in the year of Air Canada that basically argued that the bot which had given mistaken information to one of the customers that was trying to get information around bereavement fees they argued that the bot was responsible and

think through different issues the first is around accountability who is accountable for the information that your AI enabled bot gives now this might seem like a straightforward question but there was an interesting case earlier in the year of Air Canada that basically argued that the bot which had given mistaken information to one of the customers that was trying to get information around bereavement fees they argued that the bot was responsible and

And they had no liability to pay the money back. Now, that did not go down well. That was their kind of argument. But there's all sorts of kind of legal implications around that.

And they had no liability to pay the money back. Now, that did not go down well. That was their kind of argument. But there's all sorts of kind of legal implications around that.

Yes, they did. Become a bit more human. Yeah, exactly. They did. But then you can get into a little bit more detailed questions of like, well, is it the executives that kind of approved that? Is there any responsibility with the team that designed it? What about if it was supplied from a third party? So there's like so much complexity there, right, for companies to figure out.

Yes, they did. Become a bit more human. Yeah, exactly. They did. But then you can get into a little bit more detailed questions of like, well, is it the executives that kind of approved that? Is there any responsibility with the team that designed it? What about if it was supplied from a third party? So there's like so much complexity there, right, for companies to figure out.

The second one's around bias. So I use these tools quite a lot because I personally think they help my productivity immensely. They save me so much time. And I just love experimenting with different things. But this is the importance of critical thinking always is I can see that they're biased and I'm sure they're getting better or at least I hope.

The second one's around bias. So I use these tools quite a lot because I personally think they help my productivity immensely. They save me so much time. And I just love experimenting with different things. But this is the importance of critical thinking always is I can see that they're biased and I'm sure they're getting better or at least I hope.

But I was writing a piece around the economics of AI and I wanted an image of an economist pondering the future of productivity.

But I was writing a piece around the economics of AI and I wanted an image of an economist pondering the future of productivity.

Dali. I used Dali, but straight away he gave me a man with white hair. Obviously, you know, like middle-aged white man. I was like, OK. And then because I've had this experience before, I just thought, I wonder what would happen if I stopped the profession. So I could, you can prompt it to try and get different things and say, oh, give me more diverse and everything.

Dali. I used Dali, but straight away he gave me a man with white hair. Obviously, you know, like middle-aged white man. I was like, OK. And then because I've had this experience before, I just thought, I wonder what would happen if I stopped the profession. So I could, you can prompt it to try and get different things and say, oh, give me more diverse and everything.

But it's like, what if I just put the word economist for nurse and straight away gave me a woman? So of course they are because they're trained on information that we've created and we all come with our own biases, right? But how do we have a responsibility as an organization to not perpetuate those biases as well if you're using those tools?

But it's like, what if I just put the word economist for nurse and straight away gave me a woman? So of course they are because they're trained on information that we've created and we all come with our own biases, right? But how do we have a responsibility as an organization to not perpetuate those biases as well if you're using those tools?

Then there's the data privacy issues that we've touched on as well. How do you get around that? Deepfakes, that's the fourth one. And I think that's something that's particularly concerning because there's so much synthetic media at the moment and the quality of it is amazing. One that might interest you is, have you seen the Google LM tool that now creates podcasts from articles?

Then there's the data privacy issues that we've touched on as well. How do you get around that? Deepfakes, that's the fourth one. And I think that's something that's particularly concerning because there's so much synthetic media at the moment and the quality of it is amazing. One that might interest you is, have you seen the Google LM tool that now creates podcasts from articles?

But that's not to say that it all will be, but that also makes you think about your own job. How can you use it to do your job differently, perhaps? Or perhaps as humans, we value the fact that that was, that we all got together here and had this conversation in person. We put a greater value on this than on something that was just artificially generated. Yeah.

But that's not to say that it all will be, but that also makes you think about your own job. How can you use it to do your job differently, perhaps? Or perhaps as humans, we value the fact that that was, that we all got together here and had this conversation in person. We put a greater value on this than on something that was just artificially generated. Yeah.