Tag: artificial-intelligence

Enhancing Transport Safety

There’re claims that Artificial Intelligence (AI) will make transport safer. It’s to put a positive spin on the introduction of AI. Implying that existing safety deficiencies can be addressed with the power of AI.

It’s difficult to disagree with this simple assertion. There’s a list of risks that continue to be troubling. With directed design effort there are functions that AI can perform that mean it can have an advantage over conventional systems. With good design, no doubt high performing systems can be constructed.

In aviation, for example, if I consider the top five fatality risks, there’s a persistence of specific categories. We never seem to get away from loss of control in-flight (LOC-I) being high on that grim list. Runway related issues persist, and the hardy perennial of mid-air collision remains. Over the years progress has been made addressing controlled flight into terrain (CFIT), but that category of destructive events never disappears.

It’s fascinating to see that the industry thinks that AI itself is a risk[1]. High probability but low impact. This is considering a broad description of risk rather than a safety focus. Here the concern is related to the difficulties of practical implementation of this new technology.

Marketing people will big up the possibilities brought about by AI. This is what’s going on in relation to the most recent mid-air collision fatal accident. With sound justification given how crude elements of air traffic management are in specific locations.

We will never entirely displace “see and avoid” as a means of collision avoidance. Scanning the horizon looking for other air users. In my opinion, relying on this technique in relatively busy traffic areas is unwise, to say the least. This is where airborne AI assistants have much operational safety potential. Sucking up multiple information sources and processing masses of information to give accurate and instant advice. Such systems can be designed to give real-time updates not only to improve situation awareness but give avoiding action guidance, or even automated responses.

Let’s get back to the general assertion that AI will make aviation safer. On this one I’d be more cautious. For example, looking at LOC-I incidents and accidents there’s a complex mix of causal factors, and circumstantial factors. In addition, there’s the complexity of potential recovery actions too. Solving problems in 4-dimentions whatever the weather, whatever any damage incurred and however pilots react. This is where the probability numbers start to stack up.

That catch all disciplines “human factors” makes outcomes particularly difficult to calculate. Accidents are known where pilots and automation fight each other to produce bad outcomes.

AI is a machine. It will speedily crunch numbers in a mechanical manner. An extremely advanced manner but without emotion or, yet, not matching the imaginative capabilities of the human brain. Or for that matter the sophistication of human senses.

Would exceptional capable AI have saved Swissair Flight 111[2], for example? Sadly, I think not. On the day, likely an automated airborne system would have made the same decisions as the pilots. Decision making without the sense of precisely how the aircraft fire was developing would still have been hamstrung. I could raise other cases too.

Will AI make transport safer. In part. Not as a universal cure all.

[1] https://www.iata.org/en/publications/economics/reports/risks-2025-brief/

[2] https://www.bst-tsb.gc.ca/eng/rapports-reports/aviation/1998/a98h0003/a98h0003.html

Revolution: Hype vs Reality

Talk is of a revolution[1]. That sounds sensational. It sounds like marketing talk aimed at creating an insatiable desire for something new. So, that kind of talk immediately switches on the cynical side of my brain. Is this hype or is it real?

We’ve had plenty of both in my lifetime. Colourful boys adventure books with novelties like nuclear powered aircraft and moonbase vacations. It’s not that “flying a kite” is entirely bad. Those imaginings of the future had pictures of prototype flying cars. Now, we maybe on the verge of that prediction becoming real.

AI is not new. It’s been a research subject for decades. What we have most recently is the coming together of concepts and the practical machines on which to run those concepts. Amazing has been the speed of progress. That’s a modest word considering the sudden adoption of new tools that go way beyond simple INTERNET search engines.

Bill Hunter’s line: “You can’t stop progress”. At least that’s the line I remember of the 1994 film Muriel’s Wedding[2]. It was said on a rocky path to “progress” induced disaster.

My curiosity centres around avoiding the hype and finding out what’s real. That’s in the vain hope that I might not be left behind in this rapid surge of “progress”. So, to keep up with the latest technical developments I clicked on a TED App. The boss of TED, Chris Anderson has recently interviewed Sam Altman, the CEO of OpenAI[3]. He’s the guy behind ChatGPT. AI has elevated new people into the spotlight. It’s given established technology companies a headache. Their desire to be in the pack, or leading the pack is mighty strong.

My takeaways form this interview are that AI will outpace human intelligence, in time. No one knows how much time, but the path is set. The direction of travel isn’t in the control of traditional institutions or government departments. Society must get its head around a time when we live with machines that out pace us.

Second, it would be nice to have an enlightened global regulator to ensure that the massive amount of development going on produces outcomes that are for the public good. Chances of that happening are about zero, although not zero. There’s even a possibility that the industry at work on this technology realises the need for a set of enforceable rules.

Questions of safety are paramount. Even though society debated the impact that the INTERNET would have on us, steps to provide protections and boundaries only came about after the event. Lost in a storage box, I once had a book called “The Sleeping Sentinels”. Basically, the thought was that political parties and the legal profession are always more than ten steps behind the technologists. We are highly reactive.

One interesting aspect of the interview was the pauses. What was evident is that it’s hard to find the right language to describe what’s happening. Walking a tight rope between sounding like Chicken Little[4] and a wise respected elderly professor. Revolution is the right word.

POST: It’s not just IT Why AI Demands a New Breed of Leaders

[1] https://youtu.be/Xv8FBjo1Y8I

[2] https://www.youtube.com/watch?v=PLDcevp5w5o

[3] https://www.ted.com/talks/sam_altman_openai_s_sam_altman_talks_chatgpt_ai_agents_and_superintelligence_live_at_ted2025

[4] https://www.rottentomatoes.com/m/chicken_little

Transform of Future Careers

My education was an industrial one. I guess I was fortunate. No “A” levels for me.

Part of my apprentice programme was to move around the different departments of a major electronics company. That included a range from demanding technical areas, testing new designs, to the everyday pressure of a print room run by an ex-Army man who ran it as if he’d never left the Army. Yes, print rooms were once a staple part of an engineering company. Huge dyeline machines that constantly ponged of ammonia twinned with the noisiest dot-matrix printers ever made. I even got to learn some COBAL[1] with the business unit that put together our payslips. Amazingly enough I was introduced to mathematical concepts, like Fast Fourier Transforms (FFT), at a time when the digital logic needed to implement such algorithms consisted of large cabinet loads of discrete electronics. Now, my simple mobile phone can crunch numbers in this way.

Several weeks here, and several weeks there. One excursion meant spending hot summer days in the Mendip Hills at a quarry testing equipment in deep water. Another meant time working in a former brick-built railway shed that served as a small machine shop.

Of all the different experiences that I had in those formative years (16-18 years) the one that I’ll never forget was a secondment to a London based factory. The company’s training officer recognised that this small village country boy needed to go to the big city. Uppark Drive, Ilford no longer exists as a manufacturing plant. That’s no surprise. In the late 1970s that factory handled the company’s long-lived products. Technology that has gone forever.

Anyway, this is not so much about me. What I’m led to speculate about is what sort of modern-day engineering apprenticeship offers. Does it offer the variety of experiences that I had? Is industrial sponsorship as generous and altruistic as it once was? Do industry and government work hand in hand to ensure a future workforce has the skills that are needed?

Simply the answer is probably “no”. In fact, the structure and organisation of design and manufacturing organisations has changed dramatically. In aerospace there are some companies that have a major factory with every facility at their heart but most subcontract extensively. Colleges have been turned into educational shops, paid by student numbers.

Here’s a thought. It’s not so much what’s taught that’s key as much as the exposure to a variety of ways of thinking and working. A variety of exposure give a student a toolbox from which they can then draw. Finding interesting work will depend on adaptation and repurposing past skills. That’ll be the only way to assure the world doesn’t pass by at an ever-increasing pace.

I’m sure that advances in artificial intelligence (AI) will affect everyone[2]. The idea that all AI will do is displace people is wrong. It just means that, like my recollections above, the types of activities that needs to be done will be entirely different in 2065. Unless I’m highly unusual, I will be long gone. But if you are 25 years old this is worth a thought.

[1] https://archive.org/details/historyofprogram0000hist/page/n7/mode/2up

[2] https://nap.nationalacademies.org/download/27644#

The Human Touch

One of the most irritating aspects of bureaucracy is codification. What I mean is the need to tick a box that describes you or your problem. Restaurants, retailers, charities, religions, politicians and government departments all do the same. Sophisticated or crude administrative systems fall back on the same methods.

It’s immensely unsatisfying. Applicable to me, at this stage in life, is the age tick box. It doesn’t matter where the questionnaire or data gathering exercise comes from there’s always this box that starts at 65 years old. The previous box finishes at 64 years old.

This fits the respondent into the next step-up in age. Following from this simple date is a whole plethora of assumptions about the nature of a persons’ likes and dislikes, needs and wishes. An unsympathetic algorithm can then crunch numbers and send adverts for sheltered retirement homes, medication and certain types of undemanding travel opportunities.

Now, I could join the chorus of cries against bureaucracy. That would be popular but dumb. It’s a bit like the textiles we put on daily. We could go around naked as the day we were born. Trouble is that our present society doesn’t work well in the case where everyone is naked. Cold too.

So, it is with bureaucracy. It’s not going away anytime soon. The best we can do is to hunt for better ways of collecting data and making it useful for decision-makers and those who want to sell us something. Or even political parties that are keen to target us with their messages.

In the News this week is as good a sketch for an updated Yes Minister as any. Revolution is afoot. Suddenly the pen pushers who tie you up in red tape are going to be replaced with super-efficient algorithms and artificial intelligence to return us to paradise.

I think that’s the only reason Adam and Eve had to leave the garden of Eden. Nothing to do with apples. Well, not the ones that hang on trees. It was an iPad that had fallen though a time warp. Filling in a questionnaire on happiness it seems that one of them ticked the wrong box.

I see a difficulty with replacing civil servants with robotic algorithms and artificial intelligence. It might be the case that for routine activities, where the pattern of human behaviour is straightforward and well understood, a set of operations can be undertaken with a high degree of confidence that a good outcome will be provided.

Where I see the difficulty is that humans are notoriously messy. Inclined to irritation and not the least bit logical in their personal lives. Nothing that has been said this week is about truly eliminating bureaucracy, although that’s the illusion. It’s more about mechanising it using whizzy technology that’s so much better that that which has gone before (so they say).

Let’s just grow-up. We need public administration. We need it to work well. Fundamentally, it takes people to make it work. People who are motivated to work for the public good. People who are adaptive, caring and enabled to do a good job. Give them the tools to do the job. But are we kidding ourselves if we think complex algorithms and artificial intelligence are our saviours?