Keynote speaker on global trends, author of 16 Futurist books - Patrick Dixon.
Artificial Intelligence / Robotics / Cyber etc
What will be the future impact of AI / Artificial Intelligence on our wider world? The answer is that it will be massive in every dimension of human life.
Most of the influence of AI on your own life will be hidden, and hard to understand but the total combined effect will be very powerful, affecting decisions you make, influencing your thoughts, shaping your opinions, affecting your own unconscious bias and preferences.
To help explore these issues, I thought it would be revealing to have a conversation (below) about the future of AI with AI itself - using ChatGTP, a powerful Artificial Intelligence engine, which has learned about the world by analysing billions of words written by human beings. My conclusion about the conversation is that ChatGTP is not telling the truth when it comes to the downsides of AI.
Word-based machines like ChatGPT are running out of text to learn from
Word-based AI machines like ChatGPT are already up against a limit in their training programmes. For example, ChatGTP has already read most of the available words online and is rapidly running out of new material to learn from! So the next step-wise improvement will need to come from other innovations in Artificial Intelligence, and from actually engaging with live human beings.
We can expect another major extension of AI language learning by feeding AI with recorded content - all the world's TV, radio and films for example. But the total number of new words in all that is surprisingly small - human beings can't speak much faster than 130 words a minute, so even an hour of TV rarely contains more than 6000 words.
Bear in mind that I was talking only to Version 1 of ChatGTP, that ChatGTP has no knowledge of the world beyond 2021, and that the engine is set to deliver short answers only, the results are very impressive.
So what of the future? How good will such word-based engines be by 2030? Answer: good enough to convince most people most of the time that they are chatting online to a human being.
AI is already good enough to pass some student exams
The AI system is already good enough to deliver coursework for exams, complete homework assignments, write press releases or information bulletins, write computer code, and so on.
Expect billions of paragraphs to be generated by AI bots like ChatGTP, potentially swamping the web and search engines with automated articles, social media posts and so on. This will have two effects.
Firstly it is likely to degrade the experience of human beings searching for world-class content, amongst all the automatically generated clutter.
Secondly, the text produced by AI will be swept up into the pool of all available text to train all AI chatbots - so that AI text begins to train AI to produce more AI text. This could easily result in a distortion, subtle at first, for example in literary styles. It will mean that early AI bots may have a profound impact on the language capabilities and "personality" of bots that follow.
So here below is the AI view of the future of AI. You will notice that many of the answers are quite upbeat and tend to avoid discussions of risks from AI, threats in a world dominated by Artificial Intelligence. Text created by ChatGTP is in italics. My own comments are in bold....
Read more: How AI / Artificial Intelligence will transform every industry and nation - banking, insurance, retail, manufacturing, travel and leisure, health care, marketing and so on - What AI thinks about the future of AI? Threats from AI? Keynote speaker
Artificial Intelligence / Robotics / Cyber etc
Discussion on AI with a Charitable Foundation
What is the future of AI? Parts of this post were written by a revolutionary bot called ChatGPTAI already predicts the weather. What about using Artificial Intelligence to predict other types of events or how people will behave? Infosys has invested hugely in predictive analytics, for example in the oil and gas sector. Engineers planted around 30 sensors on several oil rigs in the Gulf of Mexico, and connected their data outputs to AI. The sensors were recording things like temperature, air pressure, low frequency vibrations, high pitched sounds and so on, and matching the data to other events such as mechanical breakdowns. After a few weeks, the team had an alert from the system, warning that there was going to be a problem soon on one of the rigs, which was not taken very seriously because the system had only just been set up. A few days later there was a major incident, and the engineers realised that AI discovered how to prevent disasters. But how? AI had detected unusual and obscure data patterns beyond any human understanding.
The same has happened with doctors reading X rays of bones or 3D scans of the human brain. AI was fed with tens of thousands of images, matched with diagnosis made at the time by experts. It was also fed older images of the same person. So for example, a brain tumour may have been obvious in the later images but invisible to the human eye in earlier ones. And as a result, in many hospitals around the world, AI is now detecting cancers far earlier than any human being can manage. Indeed, AI is better at image analysis than the human beings that trained AI. Not just for medical images, but any images: face recognition, recognition of people by the way they walk, and so on...
Read more: The Future of AI – the truth about risks and benefits. (Parts of this post on Artificial Intelligence were written by AI ChatGPT: can you tell the difference and does it matter?). Impact of AI on web posts, student dissertations, exam coursework
Future Travel Keynote Speaker:Auto, Rail, Aviation
Keynote for Wabtec: innovation in railroad innovation; railway locomotives, carriages, signalling, rail freight. It typically takes 5 years to take railway locomotive innovations to market, with 10 years production life and track life of 50 years, so we need to take a long term view of innovation in the rail industry. Hyper-modular approach to innovation. Rail strategies can be overtaken by events which means leadership agility. In 2080 long distance rail freight will still be 10% lower cost than truck / road freight, and it will still be cheaper to ship containers over 5000km than by road for 500km.
And it will still also be true that 60% of manufacturing revenues in many nations will be production by companies employing less than 100 people. All these factors will shape the future of rail logistics. Expect 3.5% per year growth globally in rail investment. Expect a stampede towards carbon zero freight - eg locomotive engines running on green hydrogen. Expect huge investment in integrator technologies - whether to deliver carbon zero or to meet expectations of tomorrow's customers.
Video thumbnail image licensed by Shutterstock
Read more: Future of Rail: trends in rail passengers, rail freight, railway innovation. Growth of high speed rail, impact on aviation. Rail logistics and rail supply chain management. Zero carbon freight and hydrogen powered railway locomotives - Rail Trends Keynote
Future Travel Keynote Speaker:Auto, Rail, Aviation
Future trends impact on the auto industry. New patterns of vehicle ownership, vehicle leasing and car insurance. Impact of physics / wind tunnels and human physiology on external vehicle design and internal layout. Why small innovations in care and vehicle design can have such huge impact on driver experience. Future of autonomous self-driving vehicles. Why many global trends are changing more slowly than many people imagine and what is likely to change really fast in the auto industry.
How auto manufacturers will focus on owning the customer relationship: changing the vehicle transaction from sale of a car, van or truck to going on a "life journey" together. Innovation in the auto industry, manufacturing, wholesale, retail, distribution and after sales support via dealer networks or independent agencies and breakdown services.
Read more: Future of the Auto Industry - mega trends impacting the auto industry, car manufacturers, truck factories. Auto industry innovation, autonomous vehicles, flying cars, new patters of vehicle ownership, leasing, car insurance. Futurist Keynote for Belron
Future Travel Keynote Speaker:Auto, Rail, Aviation
The Future of Aviation - keynote at ZAL Innovation Forum HamburgThe future of innovation in aviation will be dominated by three words: EMOTION, SPEED and SCALE.
EMOTION: travel has always been driven by emotion, by the deeply rooted human desire to explore, experience, engage. 85% of humanity lives in emerging markets and most have yet to experience their first flight.
SPEED: I am not referring here to supersonic air travel or space travel – both of which will continue to be exotic and unusual for the next 20-30 years. Just look instead at the speed of recovery of airline ticket sales the moment that COVID restrictions relaxed, as I predicted. And this speed is of course driven by emotion. We will also see massive acceleration in speed of innovation in the race towards carbon zero.
SCALE: the investment required to deliver a new world-class passenger aircraft is so vast that only 2-3 companies have the ability to do so. The same applies to massive infrastructure that will soon be needed to carry the world’s aviation fleet towards alternative fuels.
Most board debates about the future of aviation are not about what is going to happen but are about timing...
Read more: Future of Aviation: Carbon Zero Planes. New fuels such as hydrogen, smaller short distance battery powered vertical take-off vehicles. Why Sustainable Aviation Fuel is not the answer to global warming. How hundreds of innovations will transform aviation