Innovating innovation

How machine learning is transforming the innovation gameMachine learning has its roots back in experiments with ‘artificial intelligence’ in the 1970s but has come to represent a powerful technological trajectory as the idea of mimicking human neural networks and their learning capabilities has been explored.  And now we have generative AI, which does what it says on the tin — generates something new. And this brings the uncomfortable challenge to our perception of ourselves as the only ones capable of creativity — generating novel and useful solutions to challenges.A quick review of the growing literature on ‘artificial creativity’ shows that there are grounds for worrying. Machine learning models can now ‘create’ music, literature or visual art to a standard which makes it increasingly difficult to detect its non-human origin.With the advent of models like Chat-GPT has come the recognition that many fields are likely to be impacted by these developments.  This podcast explores the possible impact on how innovation is undertaken — and by whom.You can find a transcript hereIf you'd like to explore more innovation stories, or access a wide range of resources to help work with innovation, then please visit my website here.You can find a rich variety of cases, tools, videos, activities and other resources - as well as my innovation blog.Or subscribe to my YouTube channel here

Om Podcasten

Innovation doesn't just happen. It's not like the cartoons - a lightbulb flashes on above someone's head and that's it. No - it's a journey and we need to understand how best to prepare for that journey, whatever kind of value we are trying to create. This podcast is about some useful lessons we might take on board to help develop our capabilities.For more, see my website:https://johnbessant.org