But when we start to make predictions based on linking data that the institution holds with learners’ own data, a whole new class of ethical issues arise. It’s not unreasonable to think that some of that data could potentially be used to improve teaching and learning outcomes.
DEEP DREAMER 21 SOFTWARE
In parallel, neural network research has dramatically accelerated with the availability of free software like TensorFlow and reference datasets like ImageNet.Īrtistic Style Transfer example – trending image from With 90% of 16-21 year olds in the UK owning a smartphone, today’s learners are constantly generating a ‘digital exhaust’ of data. Three aspects of the way we use technology have changed dramatically in the intervening years: we now have pervasive connectivity to vast cloud computing resources through the Internet, and the major service providers have access to the millions or even billions of data points that are needed to ‘train’ the AI. This has already had a virtuous circle effect for Google, with most AI developers cutting their teeth on TensorFlow projects, and the software has quickly become established as the de facto standard for AI.īut AI has actually been around for a lot longer – the precursors of today’s AI techniques date back to research from the 1960s, with the advent of genetic algorithms and neural networks.
DEEP DREAMER 21 CODE
DeepMind famously produced the world beating Alpha Go AI, and the underlying TensorFlow software used by DeepMind has become very widely adopted after Google made the code ‘open source’. I’ll also look at how AI can be cheated and even defeated by a determined adversary, and consider how we can ensure that an ethical approach is taken to using AI in education.ĪI has been in the headlines a lot in the last couple of years – perhaps most notably thanks to the work of Google’s DeepMind division. In this report I’ll take a look at how AI can and is being used in education, from recognising and classifying data to generating new content from scratch. But AI is all around us now, often as an invisible addition to apps and services that we use every day. In an education context, perhaps it’s a robot teacher gliding silently down a school corridor, some time in the future.
TL DR: When we think about artificial intelligence (AI) we tend to picture the anthropomorphic robots of classic science fiction stories. The final published version of this report is now available from the Jisc website
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