Released by the newly formed European Aviation High Level Group on AI, the paper draws upon expertise from key players in the sector. Both EUROCONTROL and SESAR believe that the ongoing coronavirus crisis could help foster automation in the industry despite the challenges that it is causing. AI is being explored in the commercial airline segment of the aviation industry and is being integrated across multiple areas including customer service, airport and flight operations. Guillermet explains that Europe has “a strong basis of expertise and knowledge to further develop AI for ATM”. First, AI is quite expensive. Humans are, after all, fallible and expensive. Advances in AI are reshaping the future for airlines. Lead authors EUROCONTROL and SESAR JU discuss the report’s takeaways and where automation can help the sector take off in the coming years with Adele Berti. “By accelerating the digital transformation in terms of optimising trajectories, creating ‘green’ routes and increasing prediction accuracy,” he says, “AI could make a real difference to mitigating the environmental impacts of aviation, in addition to providing decision-makers and experts with new features that could transform the ATM paradigm in terms of new techniques and operating procedures.”. This is the argument of the recently-published FLY AI report, which sets out key steps towards a stronger adoption of AI, machine learning and other digital tools in several areas of aviation. Some aviation enthusiasts will gripe that “the last fighter pilot has already been born.” Given the current state of self-driving cars, and the step-by-step progress of Boeing tip-toeing into the world of AI and machine learning, we may still have another generation or two of fighter pilots who can share their stories with the Museum before we have to make room in our galleries for displays on machine learning and robot pilots. Over the last few years, AI has found a wide array of applications in the industry - from ground handling services to airport security and air traffic management (ATM) -  and there is now scope for more. While self-driving cars still have a long way to go, AI is not disappearing any time soon, and major players in the aviation industry, like Boeing, are investing in technologies that may be getting us closer to … While AI is promising for the future of the aviation industry, it has some pitfalls as well. Robotics & AI // Mar 2020 Lyon Airport to expand … This third option is an attractive investment for airlines. This is an opportunity for exponential growth which needs to be handled well. Most notably, however, in Boeing’s path towards autonomous aviation, is its sponsorship of the fifth annual Machine Learning and Data Analytics Symposium in Qatar in March 2018. “AI can really help transform the industry, provide better decision-making tools, and improve industrial and operational efficiency.”, The crisis has shown the limits and significant efforts required when using the current manual approach, Low-cost travel companies will benefit from high levels of demand from young consumers, Road to recovery: discussing policy change with ACI World, Grounded: how the aviation industry rallied to fight Covid-19, Q&A: sustainable aircraft recycling with NAAI Corporation, Aviation and wind farms: working together for a safer future. This, Bosman says, will help consolidate community expertise. “Recently, significant effort has been put on adapting the current certification framework to the specific characteristics of AI applications. While self-driving cars still have a long way to go, AI is not disappearing any time soon, and major players in the aviation industry, like Boeing, are investing in technologies that may be getting us closer to personal forms of air transport, self-flying airplanes and pilotless aircraft. In addition, Guillermet says that the pandemic is shining light on the importance of new technologies to help businesses through a crisis. We have pesky needs like having to eat, sleep, and see our families. Within this framework, the FLY AI report identified four areas where AI can help tackle current and future challenges. The failure of the MCAC system was the key reasons behind the fatal accident. The group was formed during EUROCONTROL’s inaugural conference on AI that took place in May last year. Improvement has been done in the areas of flight maintenance, passenger identification, crew management, and they all have one centre objective- … Decades later, AI and its subsets – machine learning and deep learning – are set to influence the future of many sectors, including aviation. Airbus is also looking into the future in terms of new offerings that will use AI, be it in the form of urban air mobility or through the development of new data-based services," he finished. But we have many challenges to overcome. “AI has the potential to transform aspects of the aviation sector, enabling ATM functions to be performed in entirely different ways in the future.”, Bosman also believes that automation can play a pivotal role in improving the industry’s environmental credentials. Get the Museum's blog posts direct to your mailbox. The company immediately suspended testing until improvements could be made. The Boeing 737 crashed a few minutes after it took off from the capital of Ethiopia. Today, AI makes it possible to enhance customer experience with automation and self-service solutions, optimize employee workflow, and ensure higher air safety with predictive and prescriptive aircraft maintenance. Artificial Intelligence has many uses in various industries like education, healthcare, automation, technology, etc. AI can revolutionize the design, … Aviation is no stranger to the virtues of AI.”. All airlines might not be able to afford or invest in such new and expensive technology. “It is now critical that the community gets together,” he adds. This is so that they can be used to develop new AI applications that could support the aviation industry in dealing with any future waves of Covid-19 or other pandemics.”. Subscribe today! In recent times the technology has gained traction in segments such as intelligent maintenance, engineering and prognostics tools, supply chains and customer services. AI In Aviation Market Worth USD 1014.81 million by 2023, Global AI In Aviation Market is anticipated to grow at a CAGR of 46.83% during forecast 2017 to 2023 | AI In Aviation Industry Artificial Intelligence (AI) has progressed rapidly and already has a significant presence in many industries including aviation, aerospace and defense. Pilot, “Mastering these technologies and accelerating our plans for a digital Europe sky will deliver an aviation operating environment, which is more resilient, scalable and economically and environmentally sustainable in the long run,” he comments. Boeing’s investments indicate its interest in cost-saving machine learning and data analysis technologies that can improve how and when planes get maintained. IFM is just one of countless AI innovators in a field that’s hotter than ever and getting more so all the time. In 2016, the U.S. commercial aviation industry generated an operating revenue of $168.2 billion. AI means a machine which can learn and think. Their objective is the same: a … There are an estimated 40,000 automobile-related deaths in the U.S. annually, but only one death due to commercial airline accidents since 2009. Before we can even get to speculating about pilotless planes, urges Boyle, we need to consider how machine learning can impact other spaces within the aviation industry, like production and maintenance. For instance, it takes time for implementation and it cannot be used as an ideal tool for customer service. Other companies similar to Aurora Flight Sciences, like Spark Cognition, are making headway in the aviation industry with machine learning solutions that, according to its website, can cut maintenance costs and improve asset liability for major aviation operators by 35%. ©2017 The Museum of Flight - All Rights Reserved. “There is so much data available now in the aviation space, so the idea is that you’d be able to predict maintenance schedules, or when a component is going to fail, so you can take care of those issues before they actually occur,” says Boyle. Meanwhile, the industry will also have to build an AI aviation/ATM community to attract future experts to the sector. It also allows airlines to make informed decisions about pricing and market positioning through the smart use of data. “No one entity can address it alone.”. Global markets and indices powered by GlobalData, Macro-economic indicators (1 of 2) powered by GlobalData, Macro-economic indicators (2 of 2) powered by GlobalData. “future-proof” their aviation connectivity. FLY AI: the role of artificial intelligence in aviation. Recently, Boeing was under intense scrutiny after its 737 Max Jet was involved in two deadly crashes. “AI’s ability to identify patterns in complex real-world data that human and conventional computer-assisted analyses struggle to identify makes it extremely well-suited to the aviation sector,” says Bosman. In addition to harnessing data analytics for healthier planes, Boeing’s sponsorship of the Go Fly Prize, a $2 million award given to innovative ideas in personal flight, underlines its interest in alternative forms of flight. Could the Covid-19 outbreak prompt a sustainability reset in aviation? All of these benefits sound great, but what about the people tasked with performing maintenance checks now? The Phase I Go Fly Prize winners were announced on June 14 and included 10 VTOL designs with appearances that range from glorified lawnmowers to self-propelling oval-shaped pods that would look right at home in an episode of the The Jetsons. Progress has not always been smooth, particularly in the 20th century when funding for AI research was principally public sector, primarily aimed at academic research and the military. The International Air Transport Association (IATA) has determined the technologies and factors that will define how aviation industry will shape up in its recent report on “ Future of the Airline … The recent incident of Ethiopian Airlines Boeing 737was an eye-opener for us and it clearly represents the drawback of AI technology in the aviation sector. This could mean that companies like Spark Cognition, with its machine learning technologies, will play a much bigger role in the aviation industry. Eero Knuutila is Head of Service Development at Helsinki Airport. Decades later, AI and its subsets - machine learning and deep learning - are set to influence the future of many sectors, including aviation. In our previous AI article we illustrated an optimistic view of AI implementation in aviation. It also features a ‘FLY AI Action Plan’ that outlines future measures to better integrate the technology in ATM and other segments of aviation. hbspt.cta._relativeUrls=true;hbspt.cta.load(3470830, 'c97d9e01-a97e-4d50-b96f-b017df4b731f', {}); Topics: In addition, the European Aviation High Level Group on AI suggests launching specific aviation/ATM training, reskilling/upskilling programmes, change management, a knowledge-based toolbox, and European AI aviation/ATM master classes to share best practices. Going online: a saving grace for airport retail? With AI, the industry’s focus on cybersecurity has also increased.”, Based on this assumption, the report aims to “demystify and accelerate the use of AI in aviation and ATM in particular”, says Guillermet. Advances in machine vision (currently applied in the automotive industry) will also find distinct applications on aircraft. Here, automation can help improve operational efficiency in different segments of aviation. “Boeing has voiced its commitment to augmenting, not replacing, humans in aircraft manufacturing and maintenance.” But, future mechanics will have to look forward to collaborating with machine co-workers. “The aim is to create an ecosystem involving industry, research institutes, start-ups, policymakers and all relevant stakeholders, in which all conditions are met to progress collectively on this,” says Guillermet. This field directly involves SESAR, which has been coordinating all EU research and development activities in ATM since 2007 and actively contributed to the production of the report. Devin Liddell | Principal Futurist Devin Liddell is a futurist who works collaboratively with clients to design preferred futures in aviation, automotive, smart cities, … Can we indeed anticipate a robot flying us from Seattle to Los Angeles any time soon? In March, Ethiopian Airlines Flight 302, a Boeing 737 series crashed minutes after it took off, and all 157 people onboard die… Application areas include crew management, flight maintenance, ticketing, and passenger identification. These include leader EUROCONTROL, the Single European Sky ATM Research (SESAR) Joint Undertaking, the International Air Transport Association, Airbus and Airport Council International’s European division. “AI has been around for more than 60 years but has gained ground more recently, thanks to advances in computing and access to data,” comments SESAR JU executive director Florian Guillermet. Machine Learning and Data Analytics Symposium in Qatar. Awareness and demystification campaigns should also be included. Eventually, data science is applied to operations optimiz… The future of AI can … Artificial intelligence (AI) is much more than a research field: it is a ubiquitous future technology with the potential to redefine all areas of our society. The sector is now eager to find more applications for AI, with some European countries - particularly Ireland, Finland, Cyprus, Luxembourg, Sweden and the Netherlands - leading the way. Based on these inroads over the past few years, we can surmise that Boeing is indeed invested in exploring AI in aviation, but only to a certain degree. “We also looked at the future evolution in the use of AI,” he continues, “in particular with the development of joint human-machine cognitive systems.". AI-empowered systems may soon allow autonomous flying machines to reduce the number of pilots and soldiers working in high-risk environments. You know how sometimes you’re sitting on a plane, waiting to take off, and you hear an announcement about a maintenance-related delay? Want to learn more about the evolution of aviation technology? Other innovations are predicted for the future of AI in the aviation industry, with American Airlines even holding a competition to develop an app that would make baggage screening easier and … “A way forward would be to set up a community of practice.”. Lastly, the technology can enhance safety in segments such as cybersecurity, conflict detection, traffic advisory and resolution tools. In a paper called “Computing Machinery and Intelligence”, he suggested using a now-famous ‘Imitation Game’ to test a machine’s sentient capabilities, which eventually laid the groundwork for the development and discovery of artificial intelligence (AI). “The aviation industry has started to exploit the potential of machine learning algorithms on non-safety critical applications,” adds EUROCONTROL head of infrastructure division Paul Bosman. The aviation industry needs to move beyond its present ways of working and find better ways to optimize resources, improve customer satisfaction an… With that in mind, do share with us your insights, thoughts and feedback at gia@iata.org. Also, AI is q… In the future, the AI system will be used to interpret information for the airborne flights’ radar and monitor the weather. AI has started to reshape the future of airline industry. The global aviation industry has been growing exponentially. Google first began testing self-driving cars in 2009, but we also know that the auto industry’s progress towards self-driving cars has been slow and rife with embarrassment, which means that self-flying planes are not a huge concern—yet. The first step will be developing a “federated data foundation and AI-infrastructure” that will grant access to data and enable the creation of an AI aviation partnership. Here’s a good indicator: Of the 9,100 patents received by IBM inventors in 2018, 1,600 (or nearly 18 percent) were AI-related. “The crisis has shown the limits and significant efforts required when using the current manual approach or analytical tools to try to understand the impact of the crisis, predict and help business recovery,” says Bosman. They won’t be completely left out of the loop, says Boyle. Despite being considered as a future of the aviation industry, AI has some pitfalls. These are airspace capacity, which is rapidly running out in Europe, the climate change crisis, digital transformation and new levels of complexity in the integration of unmanned aircraft in an already overcrowded airspace. “Machine learning and deep learning are helping to create applications that can learn autonomously and advise on complex problems. “For instance,” he says, “machine learning digital assistants can mine huge amounts of historical data to support human operators on the ground or in the cockpit to make the best possible decisions.”. “Because aviation is one of the industrial sectors most impacted by the coronavirus pandemic, it should further accelerate the adoption of AI,” Bosman concludes. The aviation industry will be forever changed because of our current times, but the trends that drove the growth of the industry remain and the day after still looks bright. But when considering the implications of AI technology in the future of aviation, there are major players, power moves, and predictions that hint towards what's in store. Machine Learning & Artificial Intelligence in Aerospace Industry Artificial intelligence plays a significant role in cutting costs, reducing the design cycle time, simulation, prototyping, optimization, maintenance, manufacturing and updating products and is all set to drive many developments in the aerospace …

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