{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/64b7d7058265b30011810519/68cafc7fbcf26cbb568d7e6f?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Design by AI: Why we need to hack the algorithm","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/64b7d7058265b30011810519/1758836670108-8eb0fe9a-d3c2-4e8d-a340-9bc0c71b2ee0.jpeg?height=200","description":"<p>Wait five minutes and someone will tell you the latest thing they’ve outsourced to AI; How it’s taking minutes of meetings or summarising reports they haven’t read.&nbsp;If you point out that the work of AI isn't exceptional, they say 'Just wait, it will get smarter'. But will it? </p><p><br></p><p>According to Professor Jutta Treviranus, director and founder of the Inclusive Design Research Centre in Toronto, the answer is, well, concerning: Unless we do something fundamental about how it works, the output of AI will continue to be just average.&nbsp;</p><p><br></p><p>“When we’re using statistical replicators, they are making decisions based on statistics, so they look for the statistical average and use predictive analytics to decide the best thing to do.”&nbsp;</p><p><br></p><p>Of all the possible dystopian predictions, the fact that AI tends towards the typical, standard and normative doesn’t sound so bad – except that when applied to systems including the built environment, it’s dangerous.&nbsp;</p><p><br></p><p>“What people don’t seem to recognise is that for people who are outliers, the systems will always decide against them.”&nbsp;And who is an outlier? All of us at some point. </p><p><br></p><p><br></p><p><br></p><p><br></p>","author_name":"The Developer"}