Showing 1 - 6 of 6
AI remains a beta tool for journalists
Life, James Hein, Published on 27/03/2024
» Unless stated otherwise, I do not use AI tools to write my articles. The main reason is that I enjoy the discovery and research process. I state this because apparently 45 finalists for this year's Pulitzer Prize in journalism disclosed their use of AI tools while developing their work to varying degrees. I tend to use examples from past work environments, articles on the latest technologies and other interesting reports that catch my eye. Given the latest revelations from the current crop of AI Large Language Models, if you use them without care, what you are reporting or writing about could be completely inaccurate. For the time being it's recommended you use such tools as a possible confirming source, rather than a primary one.
Latest AI reveals its bias yet again
Life, James Hein, Published on 13/03/2024
» Google's latest version of AI, once Bard but now called Gemini, is yet another indication of how biased the current batch of AI platforms are. I was going to include a bunch of examples but this has received so much coverage that everyone should have seen it by now. Basically, the product offers anything but a white-skinned person in requested pictures. This gave rise to some short-lived pub games. Many found this amusing but after a while it became obvious that Google has shut Gemini down for re-education.
The new normal of AI fakes
Life, James Hein, Published on 11/10/2023
» Following on from my last article, consider the following scenario. You've grabbed enough clear speech of someone to make a good AI model of them. You write up some text, pass it through the model and verify that the result sounds exactly the same as that individual. This is a little different from the previous example because it's a text to speech model, but essentially the same as using one voice to change to another. You now take a speech or interview from that person, change one word that will essentially change the context, and process this.
Big firms fuzzy on their AI thinking
Life, James Hein, Published on 28/10/2020
» Everything you see these days is AI enabled in some way, or according to the marketing they must be. Software, fridges, cancer detection and lots of other examples are all based on some kind of AI implementation. Google, Microsoft and all the big players are heavily invested in at least the buzzword, but the proof of delivery as promised is elusive.
Edit your apps
Life, James Hein, Published on 01/07/2020
» - I've never been a Twitter user as I find that platform full of bullies and one-sided, poorly researched commentary. By comparison I am now active on Parler, which is a similar platform, but is not restricted to only those ideas that Twitter supports. It is populated by people whose ideas I enjoy reading. If you are bored with the Twits on Twitter then come on over to Parler as an alternative.
AI -- what is it good for?
Life, James Hein, Published on 28/08/2019
» Why do we care about machine learning and the kind of Artificial Intelligence (AI) systems I mentioned last time? The amount of data being taken in by systems in modern times is outstripping the ability of humans to keep up. Enter machine learning systems to pre-process the information, highlight patterns and identify the bits and pieces that humans may find interesting. Key areas include fraud detection, whereby a set of rules is applied to data and flagged if those rules are detected. It also includes the age-old problem of the best delivery routes to bring manufactured goods to customers, with the additional benefit of using less fuel. A recent McKinsey report found that AI improved on "traditional analytics techniques" in 400 use cases across 19 industries and nine business functions. As far as the current situation, AI or machine learning is not an end state. Human intervention is still required to make sure the results make sense and also to ensure stuff isn't being missed in the process. There is also continuing training and refinement being regularly applied. It's a growing field and those organisations that are not at least aware of it could be left behind by their competitors. At least, until Skynet takes over.