Category: Safety

Going backwards

I find it difficult to believe anyone who gets into their sixties and says that they have never had an accident. My latest isn’t original or without minor consequence. Yesterday morning a kind nurse gave me a bandage to hold two fingers straight.

At the start of the month my gardening efforts amounted to emptying pots, replanting pots, and moving pots. I’ve got far too many pots. Plants that had not survived the winter freeze were unceremoniously sent to the compost heap. Plants that looked like the spring was bringing them back to life were given a bit of pampering.

Sitting in the shade, one large square container held a small fir tree. The tree wasn’t in the best of health but remained well worth saving. What I was unhappy about was its position on the patio out the back of the house. So, it occurred to me that it was logical to move the container to a spot where the tree might flourish in future. The large square container was made of fiberglass but had the appearance of grey slate. It had been standing unhindered in one place for well over a year.

Now, you would think an engineer, like me, would know something about friction. Or in this case stiction, that is the friction that tends to stop stationary surfaces from easily moving. There are more than two ways I could have attempted to move this heavy garden container. One was to push and the other was to pull. I opted to pull and that was my big mistake.

I crouched down and with both hands pulled hard. The container was stubborn. Again, I pulled hard. Then without warning the side of the container gave way, and I went flying. Afterwards, I wish I had paid attention to what was behind me. I hit the ground awkwardly.

When adverse events like this happen, it’s as if time momentarily slows down. Naturally, it doesn’t but it feels like an out of body experience when there’s nothing you can do to stop the inevitable happening. That split second ended with me lying on my right side with my hand extended two steps down on the patio steps. My fall was broken by my backside and my right-hand middle finger.

Oh dear, this is going to hurt – that was my first thought as I lay on the hard ground looking back at the roots of the tree I was trying to save. Second thought was – why did I do that?

Knowledge with hindsight can be a universal blight. Sure, I wouldn’t have done what I did if I’d taken the time to think more deeply about all the possible consequences linked to moving heavy objects. In this case there was only me siting on the ground painfully recounting what happened. No one to say – are you crazy? You shouldn’t have pulled that part of that container.

Accidents are a part of life. Better they be minor. Better we learn from them every time.

Working hard for the money

What goes wrong with research spending? It’s a good question to ask. In some ways research spending is like advertising spending. “Half the money I spend on advertising is wasted; the trouble is I don’t know which half.[1]” Globally billions are spent on advertising so you might say – it must be working. In fact, far more is spent on advertising than is ever available for research in the aviation and aerospace world.

Research spending is a precious asset because of its bounds. Even so, a great deal of research spending is lost on activities that deliver no or little benefit. It’s true Governments, institutions and industry don’t often put-up funds for vague and imprecise aspirations or outlandish predictions but nevertheless money goes down a sink hole on far too many occasions.

A reluctance to take tough decisions or at the other extreme of the spectrum a relish in disruption plagues research funding decision making. Bad projects can live long lives and good projects get shut down before their time. My observations are that these are some of the cases that crop-up all too often across the world.

Continuing to service infrastructure that cost a great deal to set-up. It’s the classic problem of having spent large sums of money on something and thereby the desperation to see a benefit encourages more spending. Nobody likes to admit defeat or that their original predictions were way off the mark.

Circles of virtue are difficult to address. For example, everyone wants to see a more efficient and sustainable use of valuable airspace therefore critics of spending towards that objective are not heard. That is even if substantial spending is misdirected or hopelessly optimistic.

Glamourous and sexy subjects, often in the public limelight, get a leg-up when it come to the evaluation of potential research projects. Politicians love press photographs that associate them with something that looks like a solution in the public mind. Academics are no different in that respect.

Behold unto the gurus! There’s conferences and symposiums where ideas are hammered home by persuasive speakers and charismatic thinkers. Amongst these forums there are innovative ideas but also those that get more consideration than they warrant.

Narrow focused recommendations can distort funding decision making. With the best of intent an investigation or study group might highlight a deficiency that needs work, but it sits in a distinct niche of interest. It can be a push in direction the opposite of a Pareto analysis[2].

Highlighting these points is easier than fixing the underlying problems. It’s a good start to be aware of them before pen and ink meets, and a contract is signed.

[1] statement on advertising, credited to both John Wanamaker (1838-1922) and Lord Leverhulme (1851-1925).

[2] https://asq.org/quality-resources/pareto

Light touch folly

Light touch regulation. Now, there’s a senseless folly. It’s a green light to bad actors wherever they operate. It’s like building a medieval castle’s walls half as thick as planned to save money in the belief that enemies are too stupid to work it out. Saying that the public good far less important than the speed of developments is unwise to say the least.

The INTERNET arrived in the UK in the late 1980s. Now, it seems strange to recount. Clunky Personal Commuters (PCs) and basic e-mail were the hight of sophistication as we moved from an office of typewriters and Tipp-Ex to the simple word processor[1]. Generations will marvel at the primitive nature of our former working lives. Getting scissors and cutting out paper text and pasting it into a better place in a draft document. Tippexing out errors and scribbling notes in the spaces between sentences. Yet, that’s what we did when first certifying many of the commercial airliners in regular use across the globe (Boeing 777. Airbus A320). Desktop computers took centre stage early in the 1990s, but administrations were amid a transition. Clickable icons hit screens in 1990. Gradually and progressively new ways of working evolved.

Microsoft Windows 95 and the INTERNET were heralded as the dawn of a new age. Not much thought was given to PCs being used for criminal or malicious purposes. No more thought than the use of a typewriter to commit crime. That doesn’t mean such considerations were ignored it just means that they were deemed a lower-level importance.

In 2023, everyday there’s a new warning about scammers. Even fake warnings about scammers coming from scammers with the aim of scamming. Identifying whose real and whose a fake is becoming ever more difficult. Being asked to update subscriptions that were never opened in the first places is a good indicator that there’s some dirty work afoot. Notices that accounts are about to be blocked referring to accounts that don’t exist is another.

In 30-years the INTERNET has taken on the good and bad of the greater world. It hasn’t become a safer place. In fact, it’s become a bit like the Wild West[2].

Our digital space continues to evolve but has nowhere near reached its potential. It’s like those great western plains where waggons headed out looking for rich new lands. In any towns on the way the shop fronts are gleaming and inviting but if you look around the back there’s a desperate attempt to keep bad actors at bay.

Only a fraction of the suspicious, emails, texts, and messages get reported. People unconsciously pile up a digital legacy and rarely clean out the trash that accumulates. A rich messiness of personal information can lie hidden to the eyes but just bellow the digital surface.

When politicians and technocrats talk of “light touch regulation” it’s as if none of this matters. In the race to be first in technology, public protection is given a light touch. This can’t be a good way to go.

[1] Still available – Tipp-Ex Rapid, Correction Fluid Bottle, High Quality Correction Fluid, Excellent Coverage, 20ml, Pack of 3, white.

[2] https://en.wikipedia.org/wiki/American_frontier

Who’s in control?

The subject of artificial intelligence (AI) in an aircraft cockpit stirs-up reactions that are both passionate and pragmatic. Maybe, it’s a Marmite issue[1]. Mention of the subject triggers an instant judgement. 

Large passenger transport civil aircraft are flown by two human operators. Decisions are made by those two human operators. They are trained and acquire experience doing the job of flying. A word that has its origins in the marine world is used to describe their role – pilot.

One of my roles, early on in my career, was to lead the integration of a cockpit display system into a large new helicopter[2]. New, at the time. The design team, I was part of comprised of people with two different professional backgrounds. One had an engineering background, like me, and the other had qualification associated with psychology. The recognition that an aircraft cockpit is where the human and machine meet is not new. A lot of work was done in simulation with flight crews. 

The first generation of jet aircraft put the pilot in full-time command. It’s as we moved from purely mechanical interactions with aircraft, the balance of flight control has been shared between pilot and aircraft systems. There’s no doubt, in the numbers, that this has improved aviation safety.

Nobody is calling for the removal of aircraft autopilot systems. Much of the role of the formerly required flight engineer has been integrated into the aircraft systems. Information is compressed and summarised on flat screen displays in the aircraft cockpit.

Today, AI is not just one thing. There’s a myriad of different types and configurations, some of which are frozen and some of which are constantly changing as they learn and grow. That said, a flawless machine is a myth. Now, that’s a brave statement. We are generations away from a world where sentient machines produce ever better machines. It’s the stuff of SiFi.

As we have tried to make ever more capable machines, failures are a normal part of evolution. Those cycles of attempts and failures will need to lead into the billions and billions before human capabilities are fully matched. Yes, I know that’s an assertion, but it has taken humans more than a million years to get to have this discussion. That’s with our incredible brains.

What AI can do well is to enhance human capabilities[3]. Let’s say, of all the billions of combinations and permutations, an aircraft in flight can experience, a failure that is not expected, not trained, and not easily understood occurs. This is where the benefits and speed of AI can add a lot. Aircraft system using AI should be able to consider a massive number of potential scenarios and provide a selection of viable options to a flight crew. In time critical events AI can help.

The road where AI replaces a pilot in the cockpit is a dead end. The road where AI helps a pilot in managing a flight is well worth pursuing. Don’t set the goal at replacing humans. Set the goal at maximising the unique qualities of human capabilities.

[1] https://www.macmillandictionary.com/dictionary/british/marmite_2

[2] https://en.wikipedia.org/wiki/AgustaWestland_AW101

[3] https://hbr.org/2021/03/ai-should-augment-human-intelligence-not-replace-it

First Encounter

My first encounter with what could be classed as early Artificial Intelligence (AI) was a Dutch research project. It was around 2007. Let’s first note, a mathematical model isn’t pure AI, but it’s an example of a system that is trained on data.

It almost goes without saying that learning from accidents and incidents is a core part of the process to improve aviation safety. A key industry and regulatory goal is to understand what happened when things go wrong and to prevent a repetition of events.

Civil aviation is an extremely safe mode of transport. That said, because of the size of the global industry there are enough accidents and incidents worldwide to provide useful data on the historic safety record. Despite significant pre-COVID pandemic growth of civil aviation, the number of accidents is so low that further reduction in numbers is providing hard to win.

What if a system was developed that could look at all the historic aviation safety data and make a prediction as to what accidents might happen next?

The first challenge is the word “all” in that compiling such a comprehensive record of global aviation safety is a demanding task. It’s true that comprehensive databases do exist but even within these extremely valuable records there are errors, omissions, and summary information. 

There’s also the kick back that is often associated with record keeping. A system that demands detailed record keeping, of even the most minor incident can be burdensome. Yes, such record keeping has admirable objectives, but the “red tape” wrapped around its objectives can have negative effects.

Looking at past events has only one aim. That’s to now do things to prevent aviation accidents in the future. Once a significant comprehensive database exists then analysis can provide simple indicators that can provide clues as to what might happen next. Even basic mathematics can give us a trend line drawn through a set of key data points[1]. It’s effective but crude.

What if a prediction could take on-board all the global aviation safety data available, with the knowledge of how civil aviation works and mix it in such a way as to provide reliable predictions? This is prognostics. It’s a bit like the Delphi oracle[2]. The aviation “oracle” could be consulted about the state of affairs in respect of aviation safety. Dream? – maybe not.

The acronym CAT normally refers to large commercial air transport (CAT) aeroplanes. What this article is about is a Causal model for Air Transport Safety (CATS)[3]. This research project could be called an early use of “Big Data” in aviation safety work. However, as I understand it, the original aim was to make prognostics a reality.

Using Bayesian network-based causal models it was theorised that a map of aviation safety could be produced. Then it could be possible to predict the direction of travel for the future.

This type of quantification has a lot of merit. It has weaknesses, in that the Human Factor (HF) often defies prediction. However, as AI advances maybe causal modelling ought to be revised. New off-the-shelf tools could be used to look again at the craft of prediction.

[1] https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Air_safety_statistics_in_the_EU

[2] https://www.history.com/topics/ancient-greece/delphi

[3] https://open.overheid.nl/documenten/ronl-archief-d5cd2dc7-c53f-4105-83c8-c1785dcb98c0/pdf

Pause

An open letter has been published[1]. Not for the first time. It asks those working on Artificial Intelligence (AI) to take a deep breath and pause their work. It’s signed by AI experts and interested parties, like Elon Musk. This is a reaction to the competitive race to launch ever more powerful AI[2]. For all technology launches, it’s taking fewer and fewer years to get to a billion users. If the subject was genetic manipulation the case for a cautious step-by-step approach would be easily understood. However, the digital world, and its impact on our society’s organisation isn’t viewed as important as genetics. Genetically Modified (GM) crops got people excited and anxious. An artificially modified social and political landscape doesn’t seem to concern people quite so much. It maybe, the basis for this ambivalence is a false view that we are more in control of one as opposed to the other. It’s more likely this ambivalence stems from a lack of knowledge. One response to the open letter[3] I saw was thus: A lot of fearmongering luddites here! People were making similar comments about the pocket calculator at one time! This is to totally misunderstand what is going on with the rapid advance of AI. I think, the impact on society of the proliferation of AI will be greater than that of the invention of the internet. It will change the way we work, rest and play. It will do it at remarkable speed. We face an unprecedented challenge. I’m not for one moment advocating a regulatory regime that is driven by societal puritans. The open letter is not proposing a ban. What’s needed is a regulatory regime that can moderate aggressive advances so that knowledge can be acquired about the impacts of AI. Yesterday, a government policy was launched in the UK. The problem with saying that there will be no new regulators and regulators will need to act within existing powers is obvious. It’s a diversion of resources away from exiting priorities to address challenging new priorities. That, in of itself is not an original regulatory dilemma. It could be said, that’s why we have sewage pouring into rivers up and down the UK. In an interview, Conservative Minister Paul Scully MP mentioned sandboxing as a means of complying with policy. This is to create a “safe space” to try out a new AI system before launching it on the world. It’s a method of testing and trials that is useful to gain an understanding of conventional complex systems. The reason this is not easily workable for AI is that it’s not possible to build enough confidence that AI will be safe, secure and perform its intended function without running it live. For useful AI systems, even the slightest change in the start-up conditions or training can produce drastically different outcomes. A live AI system can be like shifting sand. It will build up a structure to solve problems, and do it well, but the characteristics of its internal workings will vary significantly from one similar system to another. Thus, the AI system’s workings, as they are run through a sandbox exercise may be unlike the same system’s workings running live. Which leads to the question – what confidence can a regulator, with an approval authority, have in a sandbox version of an AI system? Pause. Count to ten and work out what impacts we must avoid. And how to do it.

Policy & AI

Today, the UK Government published an approach to Artificial Intelligence (AI)[1]. It’s in the form of a white paper. That’s a policy document creäte by the Government that sets out their proposals for future legislation.

This is a big step. Artificial Intelligence (AI) attracts both optimism and pessimism. Utopia and dystopia. There are a lot more people who sit in these opposing camps as there are who sit in the middle. It’s big. Unlike any technology that has been introduce to the whole populous.

On Friday last, I caught the film iRobot (2004)[2] showing early evening on Film 4. It’s difficult to believe this science fiction is nearly 20-years old and the short story of Isaac Asimov’s, on which it’s based is from the 1950s. AI is a fertile space for the imagination to range over a vast space.

Fictional speculation about AI has veered towards the dystopian end of the scale. Although that’s not the whole story by far. One example of good AI is the sentient android in the Star Trek universe. The android “Data” based on the USS Enterprise, strives to help humanity and be more like us. His attempt to understand human emotions are often significant plot points. He’s a useful counterpoint to evil alien intelligent machines that predictably aim to destroy us all.

Where fiction helps is to give an airing to lots of potential scenarios for the future. That’s not trivial. Policy on this rapidly advancing subject should not be narrowly based or dogmatic.

Where there isn’t a great debate is the high-level objectives that society should endeavour to achieve. We want technology to do no harm. We want technology to be trustworthy. We want technology to be understandable.

Yet, we know from experience, that meeting these objectives is much harder than asserting them. Politicians love to assert. In the practical world, it’s public regulators who will have to wrestle with the ambitions of industry, unforeseen outcomes, and negative public reactions.

Using the words “world leading” successively is no substitute for resourcing regulators to beef-up their capabilities when faced with rapid change. Vague and superficial speeches are fine in context. Afterall, there’s a job to be done maintaining public confidence in this revolutionary technology.

What’s evident is that we should not delude ourselves. This technical transformation is unlike any we have so far encountered. It’s radical nature and speed mean that even when Government and industry work together they are still going to be behind the curve.

As a fictional speculation an intelligent android who serves as a senior officer aboard a star ship is old school. Now, I wonder what we would make of an intelligent android standing for election and becoming a Member of Parliament?

[1] The UK’s AI Regulation white paper will be published on Wednesday, 29 March 2023. Organisations and individuals involved in the AI sector will be encouraged to provide feedback on the white paper through a consultation which launches today and will run until Tuesday, 21 June 2023.

[2] https://en.wikipedia.org/wiki/I,_Robot_(film)

Good enough

It’s not a universal rule. What is? There are a million and one ways that both good and bad things can happen in life. A million is way under any genuine calculation. Slight changes in decisions that are made can head us off in a completely different direction. So much fiction is based on this reality.

Yes, I have watched “Everything Everywhere All at Once[1]”. I’m in two minds about my reaction. There’s no doubt that it has an original take on the theory of multiple universes and how they might interact. It surprised me in just how much comedy formed the core of the film. There are moments when the pace of the story left me wondering where on earth is this going? Overall, it is an enjoyable movie and its great to see such originality and imagination.

This strange notion of multiple universes, numbered beyond count, has an appeal but it’s more than a headful. What I mean is that trying to imagine what it looks like, if such a thing is possible, is almost hopeless. What I liked about the movie is that small difference are more probable and large difference are far less probable. So, to get to the worlds that are radically different from where you are it’s necessary to do something extremely improbable.

Anyway, that’s not what I’m writing about this morning. I’ve just been reading a bit about Sir Robert Alexander Watson Watt. The man credited with giving us radar technology.

Perfect is the enemy of good is a dictum that’s has several attributions. It keeps coming up. Some people celebrate those who strive for perfection. However, in human affairs, perfection, is an extremely improbable outcome in most situations. There’s a lot of talent and perspiration needed to jump from average to perfect in any walk of life.

What the dictum above shorthand’s is that throwing massive amounts of effort at a problem can prevent a good outcome. Striving for perfection, faced with our human condition, can be a negative.

That fits well with me. My experience of research, design and development suggested the value of incremental improvement and not waiting for perfect answers to arise from ever more work. It’s the problem with research funding. Every paper calls for more research to be done.

In aviation safety work the Pareto principle is invaluable. It can be explained by a ghastly Americanisms. Namely, let’s address the “low hanging fruit” first. In other words, let’s make the easiest improvements, that produce the biggest differences, first.

I’m right on-board with Robert Watson-Watt and his “cult of the imperfect”. He’s quoted saying: “Give them the third best to go on with; the second best comes too late, the best never comes”. It’s to say do enough of what works now without agonising over all the other possible better ways. Don’t procrastinate (too much).

[1] https://www.imdb.com/title/tt6710474/

Digital toxicity

There’s a tendency to downplay the negative aspects of the digital transition that’s happening at pace. Perhaps it’s the acceptance of the inevitability of change and only hushed voices of objection.

A couple of simple changes struck me this week. One was my bank automatically moving me to an on-line statement and the other was a news story about local authorities removing pay machines from car parks on the assumption everyone has a mobile phone.

With these changes there’s a high likelihood that difficulties are going to be caused for a few people. Clearly, the calculation of the banks and local authorities is that the majority rules. Exclusion isn’t their greatest concern but saving money is high on their list of priorities.

The above aside, my intention was to write about more general toxic impacts of the fast-moving digital transition. Now, please don’t get me wrong. In most situations such a transition has widespread benefits. What’s of concern is the few mitigations for any downsides.

Let’s list a few negatives that may need more attention.

Addiction. With social media this is unquestionable[1]. Afterall digital algorithms are developed to get people engaged and keep them engaged for as long as possible. It’s the business model that brings in advertising revenues. There’s FOMO too. That’s a fear of missing out on something new or novel that others might see but you might miss out on.

Attention. Rapidly stroking a touch screen to move from image to image, or video to video encourages less attention to be given to any one piece of information. What research there is shows a general decline in the attention span[2] as a characteristic of being subject to increasing amounts of information, easily made available.

Adoration. Given that so many digital functions are provided with astonishing accuracy, availability, and speed there’s a natural inclination to trust their output. When that trust is justifiable for a high percentage of the time, the few times information is in error can easily be ignored or missed. This can lead to people defending or supporting information that is wrong[3] or misleading.

It’s reasonable to say there are downsides with any use of technology. That said, it’s as well to try to mitigate those that are known about and understood. The big problem is the cumulative effect of the downsides. This can increase fragility and vulnerability of the systems that we all depend upon.

If digital algorithms were medicines or drugs, there would be a whole array of tests conducted before their public release. Some would be strongly regulated. I’m not saying that’s the way to go but it’s a sobering thought.

[1] https://www.theguardian.com/global/2021/aug/22/how-digital-media-turned-us-all-into-dopamine-addicts-and-what-we-can-do-to-break-the-cycle

[2] https://www.kcl.ac.uk/news/are-attention-spans-really-collapsing-data-shows-uk-public-are-worried-but-also-see-benefits-from-technology

[3] https://www.bbc.co.uk/news/business-56718036

Comms

The long history of data communications between air and ground has had numerous stops and starts. It’s not new to use digital communications while flying around the globe. That said, it has not been cheap, and traditional systems have evolved only slowly. If we think Controller Pilot Data Link Communications (CPDLC)[1] is quite whizzy. It’s not. It belongs to a Windows 95 generation. Clunky messages and limited applications.

The sluggishness of adoption of digital communications in commercial aviation has been for several reasons. For one, standardised, certified, and maintainable systems and equipment have been expensive. It’s not just the purchase and installation but the connection charges that mount-up.

Unsurprisingly, aircraft operators have moved cautiously unless they can identify an income stream to be developed from airborne communication. That’s one reason why the passengers accessing the internet from their seats can have better connections than the two-crew in the cockpit.

Larger nations’ military flyers don’t have a problem spending money on airborne networking. For them it’s an integral part of being able to operate effectively. In the civil world, each part of the aviation system must make an economic contribution or be essential to safety to make the cut.

The regulatory material applicable to Airborne Communications, Navigation and Surveillance (CS-ACNS)[2] can be found in publications coming from the aviation authorities. This material has the purpose of ensuring a high level of safety and aircraft interoperability. Much of this generally applicable material has evolved slowly over the last 30-years.

Now, it’s good to ask – is this collection of legacy aviation system going to be changed by the new technologies that are rapidly coming on-stream this year? Or are the current mandatory equipage requirements likely to stay the same but be greatly enhanced by cheaper, faster, and lower latency digital connections?

This year, Starlink[3] is offering high-speed, in-flight internet connections with global connectivity. This company is not the only one developing Low Earth Orbit (LEO)[4] satellite communications. There are technical questions to be asked in respect of safety, performance, and interoperability but it’s a good bet that these new services will very capable and what’s more, not so expensive[5].

It’s time for airborne communications to step into the internet age.

NOTE: The author was a part of the EUROCAE/RTCA Special Committee 169 that created Minimum Operational Performance Standards for ATC Two-Way Data Link Communications back in the 1990s.

POST 1: Elon Musk’s Starlink Internet Service Coming to US Airlines; Free WiFi (businessinsider.com)

POST 2: With the mandate of VDLM2 we evolve at the pace of a snail. Internet Protocol (IP) Data Link may not be suitable for all uses but there’s a lot more that can be done.

[1] https://skybrary.aero/articles/controller-pilot-data-link-communications-cpdlc

[2] https://www.easa.europa.eu/en/document-library/easy-access-rules/easy-access-rules-airborne-communications-navigation-and

[3] https://www.starlink.com/

[4] https://www.esa.int/ESA_Multimedia/Images/2020/03/Low_Earth_orbit

[5] https://arstechnica.com/information-technology/2022/10/starlink-unveils-airplane-service-musk-says-its-like-using-internet-at-home/