Of robots and rights

Author: Dr Jackie Mallia

Dr Jackie Mallia

In 2019, Malta will create a National Strategy for Artificial Intelligence or ‘AI’, in order to establish the Country as a hub for investment in AI. Speaking about AI at the Delta Summit late last year, Prime Minister Dr Joseph Muscat stated that ‘not only can we not stop change, but we have to embrace it with anticipation since it provides society with huge opportunities.’ He followed up with similar declarations at the Malta Innovation Summit, also observing that in the future ‘we may reach a stage where robots may be given rights under the law.’ 

This latter statement seemed to generate unease. Reading some of the negative comments posted online, I realised that for many, the mention of ‘AI’ still conjures up images of the Terminator movies. 

Although a machine possessing self-awareness, sentience, and consciousness may take decades to materialise, AI is already pervasive in our lives. Many of us make use of intelligent assistants, be it Amazon’s Alexa or Apple’s Siri. Others use Google Nest to adjust their home’s temperature. Then there are the millions with Netflix accounts whose content is ranked in order of assumed preference. All of it is convenient and all of it is due to AI. But some of the skepticism towards the technology may be warranted. High-profile failures include Google Home Minis allegedly sending their owners’ secretly recorded audio to Google. Facebook’s chatbots, Alice and Bob, developed their own language to conduct private conversations, leading to their shutdown. In addition, there were two well-documented fatal autonomous car accidents in 2018.

AI is still evolving, but at the same time, it is becoming ubiquitous, which leads us to some very important questions. What is happening to the data that such systems are collecting about us? What decisions are the devices taking, and to what extent are we even aware of them? Do we have a right to know the basis upon which such decisions are taken? If a machine’s ‘intelligence’ is based on big data being fed to it in an automated manner, how do we ensure it remains free from bias? Can decisions taken by a machine be explained in a court of law? Who is liable? 

A focus on the regulation of AI is not misplaced. The issues are real and present. But the answer is not to turn away from innovation. Progress will happen whether we want it to or not. Yes, we need ‘to embrace it,’ as Muscat stated, but we must do so in the most responsible way possible through appropriate strategy and optimal legislation.   

Dr Jackie Mallia is a lawyer specialising in Artificial Intelligence and a member of the Government of Malta’s AI Taskforce

Heat for health

Over 10% of the Maltese population lives with type 2 diabetes mellitus. This means the local risk for peripheral arterial disease, the one that usually leads to amputation, is alarmingly high. But now, a team of researchers from the Faculty of Health Sciences (University of Malta) has its hands on a new high-tech camera that can be used to detect foot complications before it’s too late. 

A common symptom of peripheral arterial disease is a gradual temperature increase in a person’s foot. The change is very mild, making it difficult to detect manually. So Dr Alfred Gatt and his team are using the state-of-the-art thermographic FLIR thermal camera to hone in on these temperature variations from type 2 diabetes mellitus.

The camera uses infrared light in the same way a regular camera uses visible light to produce an image. Yes, puppy pictures are still possible, but they definitely won’t look as cute. Its ability to measure emitted heat means it is non-invasive, reducing risks of infection completely. So while the €30,000 price tag may seem high to some, it will save money in the long run.

The applications of this piece of equipment go above and beyond diabetes. It is being used for multiple research projects and contributing to medical knowledge related to other vascular diseases and physiological processes. Its true cost? Priceless.  

What’s lurking on your lunch?

In our modern, fast-paced lives, more of us are turning to convenient ready-to-eat meals. But with short shelf lives and high demand, food safety tests just aren’t quick enough anymore. Dr Sholeem Griffin tells Becky Catrin Jones how an innovative collaboration between microbiology and computing is tackling this challenge.

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The rise of the academic entrepreneur

What is it that separates innovation in the lab from successful multi-million euro ventures that make money and have a positive impact on the world? The Knowledge Transfer Office’s Andras Havasi writes.

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Blockchain: Not just bitcoin

Blockchain is still a big unknown, even for some professionals. Blockchain and the Distributed Ledger Technology (DLT) have been made infamous by Bitcoin, a digital payment and peer-to-peer monetary transaction system that bypasses banks and third party endorsements. But DLT and the Blockchain protocol can be used for other purposes.  Blockchain’s greatest strength lies in its decentralised architecture. It allows transactions to be shared openly across independent nodes, verified by encrypted checksums that give each closed block a distinct, indelible signature. All these connected transactions, chained within a common system, make tampering practically impossible. Blockchain is irrevocable, affordable, flexible, and secure.  

But what about other applications of these concepts. What if we were to apply such technology to every data exchange? Data and information in the digital age is spearheading the evolution of services and product development, serving a continuum of user demands at all levels and scales, boosting research and innovation applications. Indeed, data is nowadays considered a key ingredient for competitiveness, and this is not about to change anytime soon. 

Prof. Aldo Drago

The greatest bottleneck is data sharing. Data production is growing and covering many realms but unfortunately most of it remains locked up in closed databases, enterprises, and institutions. Unofficially it is estimated that the world generates 16 zettabytes of data annually (that’s 16 billion terabyte laptops), but only 1% is analysed. The problem is that data is withheld by data collectors who consider data hoarding to be a right. Where data is released it does not usually flow to users. As a result, we now have institutions running massive centralised databases, often conducting data archaeology, compiling it at local, regional, and global scales. They address the needs of different user groups, but they also impose licensing procedures that ultimately restrain the power of free data flows, establishing unnecessary monopolies.

Blockchain can unleash the full power of data by providing a system for seamless, efficient and secure data transactions. It can lead to so many applications, such as eliminating the need for shipping documents in the transportation of goods, and making the freight and logistics industry more time and cost efficient. Data could be funnelled into artificial intelligence systems to create high performance human-machine interfaces, self-automated robots, cars, and ships. These devices, with information from big data, would be able to learn from their mistakes and autonomously adapt to changing environments. In medicine, large data sets would prove priceless in drug and treatment design, doing away with the constraints of limited sample sizes. The application of such technologies is limited only by our own imagination.

A new digital revolution is looming ahead. Are we ready to be amongst the first to take this leap into the future? 

Author: Prof. Aldo Drago

Up, up and away!

How do aerospace research engineers test new cockpit technologies without having to actually fly a plane Answer: flight simulators. These machines give pilots and engineers a safe, controlled environment in which to practise their flying and test out new technologies. In 2016 the team at the Institute of Aerospace Technologies at the University of Malta (IAT) started work on its first-ever flight simulator—SARAH (Simulator for Avionics Research and Aircraft HMI). Its outer shell was already available, having been constructed a few years back by Prof Carmel Pulé. From there, the team built the flight deck hardware and simulation software, and installed all the wiring as well as side sticks, pedals, a Flight Control Unit (FCU) and a central pedestal. The team constructing the simulator faced many hurdles. The biggest challenge was coordinating amongst everyone involved in the build: students, suppliers, and academic and technical staff. Careful planning was crucial.

The result is a simulator representative of an Airbus aircraft. However, it can also be easily reconfigured to simulate other aircraft, making it ideal for research purposes and experimentation. The Instructor Operating Station (IOS) also makes it possible to select a departure airport and change weather conditions.

One of the first uses of SARAH was to conduct research on technology that enables pilots to interact with cockpit automation using touchscreen gestures and voice commands. This research was conducted as part of the TOUCH-FLIGHT 2 research and innovation project (read more about this in Issue 19).

Going beyond the original aim of SARAH being used for research purposes, the IAT is also using the technology to educate graduates and young children in the hope of sparking an interest in the field. Earlier this year, a group of secondary school students flew their own virtual planes under the guidance of a professional airline pilot.

Looking ahead, the IAT plans to incorporate more state-of-the-art equipment into SARAH to increase its capabilities and make the user experience even more realistic. There are also plans to build other simulators—including a full-motion flight simulator and an Air Traffic Control simulator—and to connect them together to simulate more complex scenarios involving pilots and air traffic controllers; a scenario that would more closely resemble the experience of a real airport.Project TOUCH-FLIGHT 2 was financed by the Malta Council for Science & Technology, for and on behalf of the Foundation for Science and Technology, through the FUSION: R&I Technology Development Programme.

Author: Abigail Galea

Come ‘Here’!

A pointed index finger can mean many things. It can direct our attention to something, show us which way to go, or demand silence. It all depends on context—the situation in which it is used. This is what philosophers refer to as ‘indexicality’. And yes, you guessed it, the word ‘indexicality’ comes from the name of that particular finger.

Birdy from ‘Here’ game
Wessel the cat from ‘Here’ game

At the University of Malta’s Institute of Digital Games, Prof. Stefano Gualeni has been playing around with this concept. Featuring the voice acting talents of independent game developers Emily Short and Pippin Barr, Gualeni has created a video game called Here, designed for players to engage with (and get confused by) the concept of indexicality. 

Here’s gameplay poses the question of what it means when we say ‘here’ in a game world, and how many meanings of ‘here’ can exist side-by-side in a video game. It uses the trope from Japanese Role Playing Games of going on quests to retrieve bizarre items from classic locations. Spooky caves and castles are all part of the repertoire of locations that players can explore. But then, where do you go if ‘here’ is your instruction? What if ‘here’ isn’t where you think it is? What if you’re supposed to go upside down instead?   

To try the game yourself, visit www.here.gua-le-ni.com

Author: Cassi Camilleri

Blood in the brain

Artificial intelligence (AI) has now made its way into the medical world. But it’s not as scary as it sounds. Most forms of AI are simply programs which have been developed to carry out very specific tasks–and they do them very well.

As part of my final-year project, I used AI to develop a program that can diagnose different types of brain haemorrhages. Brain haemorrhages are life-or-death situations where blood vessels in the brain burst and bleed into surrounding tissues, killing brain cells. Speed is key in preventing long-term brain damage, but treatment options depend on the size and location of the haemorrhage. This is when computerised tomography, or CT scans, come in.

Using X-rays, CT scans can image the brain in seconds. Last year, John Napier (another final-year project student) created an AI system to detect brain haemorrhages from CT scans. Building on this, I (under the supervision of Prof. Ing. Carl James Debono, Dr Paul Bezzina, and Dr Francis Zarb) developed a system to take the output from Napier’s system and further analyse the intensity, shape, and texture of haemorrhages to identify them as one of three types.

Kirsty Sant

The AI was trained on 24 pre-classified CT scans. By presenting the scan image to the artificial neural network along with the answer, the system can take on the information and learn. This process trains it to become familiar with the types of haemorrhage. Two different structures of artificial neural network were used with 220 variants each–resulting in 440 variants being used to train and test the model.

Then it was time to test this system. Six scans were given as unknowns and the network successfully classified over 88% of the haemorrhages using only three of the 440 variants.

The purpose of this system is to verify radiologists’ diagnoses. However, we hope to develop it to diagnose haemorrhages, which would help treat patients faster. The system can be adapted to other illnesses–CT scans are commonly used to image the abdomen and chest. The applications, and life-saving potential, are endless.

This research was carried out as part of a Bachelor’s degree in Computer Engineering at the Faculty of ICT, University of Malta.

Author: Kirsty Sant