Tag Archives: AI

Lets build an experience instead of another chatbot!

"Research across hundreds of brands in dozens of categories shows the most effective way to maximize customer value is to move beyond customer satisfaction and connect with customers at an emotional level."

– Harvard Business Review

If you need to make an insurance claim, you use an online form for that. In the case of opening new accounts, you simply fill in the form, then benefit from the quick mail response. Maybe you would like to take out a loan? Oh, it should be a piece of cake to speak with a chatbot briefly and learn everything about everything. Do you recognize yourself in the lines above?

The answer is unequivocally yes. We are constantly connected to a network. The companies improved efficiency as well as cut their costs by shifting to the digital contact with customers. But on the other side of the coin – for many businesses the emotional bond has been violated by digital strategy and efficiency that directly affected the cost of the brand, revenue growth, and outflow. This backdrop sets the scene for incredible innovation, as it became pretty complicated for clients to differentiate the values of the brand of two different companies. It’s all about digital commoditization.

Результат пошуку зображень за запитом "faceme"

FaceMe is a world-leading provider of Digital Humans via its Intelligent Digital Human Platform, created on the AI basis, which expands the brand opportunities to build reliable interaction with clients in the real time, based on customized content and unforgettable personalities, which build an emotional connection using the power of the human face. IBM Cloud technologies are used together with high-capacity of IBM Cloud bare metal servers in order to provide endless scalability of this technology for hundreds of simultaneous conversations. It’s such an organization that – to put it in a nutshell – enables organizations to reduce the cost to serve at the same time as enabling opportunity for growth and improving customer experience. The company now operates in New Zealand, the US, Australia, and Europe, working for global brands such as Vodafone and UBS. It’s available for customers through browsers, mobile phones or kiosks.

Результат пошуку зображень за запитом "faceme"It is estimated by analytics that within the next decade nearly 85 % of communication with customers will be implemented only via digital channels. Mobile applications, web-portals, and chatbots will become even faster and more convenient, but the companies might have a difficult time building bridges with the clients in such a competitive environment.

I’m pretty sure that our future reality will draw a lot of eyeballs. At least for the reason that Digital Humans will process question in just 100 milliseconds, during which they will converting text from a chatbot into key human qualities through both the ability to respond with speech, facial expression or gestures and also apply dynamic reaction based on customers behavior and emotion. The client, in turn, perceives almost immediate response that means that conversation flows good, and feels as comfortable as talking with the real agent.

 Emma Lavelle talks to “Vai” who was set up at New Zealand’s Auckland Airport to answer biosecurity questions from travellers in a bid to reduce the workload of biosecurity officers.

Bringing emotional connection to the digital world is as crucial in the context of business as in solving pressing issues, related to health and well-being, education, environment, and many other spheres. Take the example of psychological health. You know, the first important step is just to make patients talk. As studies have shown, 63 % of people would prefer talking about problems of their psychological health with Digital Humans. Therefore, there is a great opportunity to make a valuable contribution to society. FaceMe also works with the Centre for Digital Business to create digital reading instructors, who can help children with reading problems, for whom there is a shortage of qualified teachers. One more potential use case is a provision of consultations and emotional support for patients, recovering after heart surgeries.

Technologies of IBM and FaceMe represent a powerful combination, which intends to change the customer’s experience all over the world. Remember, there is no restriction in our ambitions and ability to make a positive contribution in the society by introducing emotional connection in the digital world.

Links:

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Alibaba’s AI Customer Service is much better than Google Duplex

A long-standing goal of an interaction between humans and computers has been to enable people to have a free conversation with machines, as they would with each other. In recent years, we have witnessed a revolution in the ability of computers to understand and to generate natural speech, especially with the application of deep neural networks.

One of the inventions in this area was Google Duplex. As you probably know, Duplex is a technology for conducting natural conversations to carry out “real world” tasks over the phone. The technology is directed towards completing specific tasks, such as scheduling certain types of appointments. For such tasks, the system makes the conversational experience as natural as possible, allowing people to speak normally, like they would to another person, without having to adapt to a machine. For example, Duplex can automatically reserve a table for you in a restaurant, using a phone call to a manager.

While Google is still testing and developing their new system on a small amount of Pixel phone Users, another giant tech company Alibaba already has a working model. It is used not for restaurants, but for an even narrower niche – the delivery of goods. At an annual AI research gathering, the e-commerce giant demoed a sample conversation where the voice-assistant was tasked to ask a customer where the package should be delivered.

The most amazing thing is that Alibaba’s voice assistant was able to deal with some controversial situations during the dialog such as interruption (pauses), nonlinear conversation (customer starts a new line of inquiry), and implicit intent (customer doesn’t explicitly says what he actually means). It is an amazing new which also once again underlines the superiority of China in the field of artificial intelligence, by the way. Currently, the agent is used only to coordinate package deliveries, but it could also be expanded to handle other topics.

Sources:

fossbytes.com/alibabas-ai-customer-service-is-way-ahead-of-google-duplex/

https://www.technologyreview.com/s/612511/alibaba-already-has-a-voice-assistant-way-better-than-googles/

https://www.techspot.com/news/77782-alibaba-already-has-voice-assistant-way-better-than.html

https://ai.googleblog.com/2018/05/duplex-ai-system-for-natural-conversation.html

venturebeat.com/2018/11/21/googles-duplex-is-rolling-out-to-pixel-owners-heres-how-it-works/

 

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Uncover humanity and secrets of your face

Due to the fact, that deep learning technology takes giant steps in developing and improving, we might say that modern cities are just around the corner. One of the things that cities of the future need is face recognition system.

Why do we need that?

Face ID, for instance, can help the police to identify perpetrators and send them fees. It can bring huge benefits, because people will know that they can be punished for minor hooliganism. They can use it for finding criminals and elimination syndicates. Thus, security of life will be improved. Moreover, in the nearest future, face recognition technology will be able to understand human’s emotions, so that it will bring some benefits in medical industry and can be implemented in pain management procedures. Yet, its general mission is to help security system. It would be better to use Facial biometrics combined with fingerprints to authenticate persons.

How is it performing now?

Huge software corporations like IBM, Google, Amazon, Facebook, etc. are shipped to work on facial biometrics.  They have already achieved impressive results. For example, Facebook DeepFace can determine two photos of the same person with accuracy rate of 97.25%. In June 2015 Google’s program FaceNet achieved 95% on YouTube Faces DB. Although, its performance is quite high, this technology still has a lot of issues to be solved.

Firstly, as you may know Apple introduced Face ID in Iphones since X’s version and it had been heavily criticized by Chinees people because of inability to recognize some of their faces.

Secondly, In February 2018 found that Microsoft, IBM and Megvii tools had big percentage of mistakes when identifying dark skin women. This problem has been solved, though such occasions show us not thoroughness of this technology. This is due to the fact, that there are too many variables that need to be taken into consideration.

Moral dilemma

If we implement such a technology into our cities, there is a chance that it would not be accepted by usual peasants. Because, face recognition requires huge number of cameras in cities and human, like a creature, may take it as an endless monitoring and lack of freedom because we will have to act like robots to prevent punishment from the government. Moreover, the technology will replace manual work and this won’t be welcomed. Yet, advantages take over disadvantages and it is not long time before face recognition technology will be entered.

 

Links

For more information:

https://www.gemalto.com/govt/biometrics/facial-recognition

https://www.biometricupdate.com/201811/dhs-issues-call-for-2019-biometric-technology-rally-participants

Pics

https://pixabay.com/ru/cctv-%D0%B1%D0%B5%D0%B7%D0%BE%D0%BF%D0%B0%D1%81%D0%BD%D0%BE%D1%81%D1%82%D0%B8-%D0%BA%D0%B0%D0%BC%D0%B5%D1%80%D1%8B-1144371/

https://pixabay.com/ru/%D0%B0%D0%BB%D0%B3%D0%BE%D1%80%D0%B8%D1%82%D0%BC-%D0%B8%D0%B7%D0%BE%D0%B1%D1%80%D0%B0%D0%B6%D0%B5%D0%BD%D0%B8%D1%8F-%D0%BD%D0%B0-%D0%BC%D0%B0%D1%88%D0%B8%D0%BD%D0%B5-3859536/

 

 

 

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Flying cars are on the way!

Airbus and Audi partner for urban mobility services


Stock up on strong nerves as well as fat wallets to make use of the world’s first airborne automobiles on an industrial scale.


The idea of Urban Air Mobility (UAM) so far remains pie in the sky for someone, but it’s not for aviation giant Airbus, German car manufacturer Audi, and Italdesign design house. The trio collaborated to develop real, near-term urban mobility solutions for avoiding rush hour, unveiling a scale-model prototype of a flying drone-car called the “Pop.Up Next”. Why are we still obsessing, if there’s a chance just to fly over traffic jam that we are sick of?

“This important partnership with Audi addresses both current and future challenges for urban mobility. As a first concrete milestone in the cooperation we are developing, we will be offering multi-modal transportation solutions to the world’s most congested cities,” said Airbus CEO Tom Enders. “The world is rapidly urbanizing, and ground infrastructure alone cannot meet the demands of tomorrow. Increased congestion is pushing the cities’ transport systems to the limits, costing travellers and municipalities valuable time and money. Adding the sky as a third dimension to the urban transport networks is going to revolutionise the way we live – and Airbus is ready to shape and build that future of flight.”

airbus car drone conceptWell, the car-drone combo is made up of three separate modules, which allow customers to have a seamless and ultra-convenient travel experience. The key component is a capsule for passengers that is 2.5 meters long and 1.4 meters high. Its modular design means that it can easily unhook from its chassis with wheels and get airlifted by an accompanying drone, which is autonomous and powered by 4 rotors. The so-called cubicle can attach to a battery-powered chassis to become a two-seater electric car. Without the cubicle, the chassis can drive only 100 kilometers on a single charge, so we are faced with not a long-distance vehicle concept, unfortunately.

No less interesting is the fact that passengers can summon the drone using a phone app that can also suggest the best transport solutions as well as ride-sharing demand and relative cost. The capsule can even be paired with other futuristic transport systems, like the Hyperloop.

Despite the fact that the model’s test flight went off without a fault, Airbus executive Jean Brice Dumont is prudently optimistic about when the Pop.Up system will actually become a reality.

“I think it will take more than a decade until a real significant, massive deployment of an air taxi system” is ready, he said, and “for this we need to tick a list of boxes. The vehicle is one, safety is the overarching one, infrastructure is one, acceptability is another one.”

 

However, the serious competitor Uber turned out to be even more ambitious. Last year, the transportation company revealed an artist’s impression of a sleek machine with the goal to start using for demonstration flights of the year 2020 and by 2023 for actual use. Uber’s battery-powered aircraft looks like a blend of a small plane and a helicopter with fixed wings and rotors.

So, what to expect from state-of-the-art technology?

You must agree, that anxiety comes in this case by itself. The barrier standing between you and a future of commuting through the skies is bravery. The fact that you may feel uneasy in a flying car, that was once just a stupid dream from your childhood is hardly a shocker. That’s not to say that they’re unsafe, anyway, the parachute, of course, should help. You’re still going to have to entrust your life to a vehicle. And yet, the attractiveness of freedom and faster journeys might be sufficient for many people to roll the dice.

Links:

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How Artificial Intelligence is starting to have a serious effect on our lives?

Have you seen Minority Report directed by Steven Spielberg? 

 

 

For those who haven’t I recommend watching it because the prophecy of this film begins to meet.

Due to the fact that technological process is constantly developing and thanks to that the meaning of Artificial Intelligence in our lives increase, we can definitely be scared about this what is happening around us.

 

Have you ever been thinking about which is one of the most intimate things in people lives?

It is sexuality orientation. Nowadays many people hide them real sexuality in fear of social indignation for example: sport players, family members, schoolmates. This people have to bother with this inside battle of “coming-out” every single day and now it is going to be worse. Nowadays the AI can guess whether you are gay or straight based of photos of your face. It is the fact not the opinion! Now we can say that machines started to be better “gaydar” than people. The study work from Stanford University – has found algorithm which could distinguish with 81% of accuracy whether you are gay or straight for men and with 74% of accuracy for women.

The algorithm was tested on machine intelligence which had to research of 35 000 facial photos from the one of dating sites and thanks to that had find out the real sexual orientation.

“The research found that gay men and women tended to have “gender-atypical” features, expressions and “grooming styles”, essentially meaning gay men appeared more feminine and vice versa. The data also identified certain trends, including that gay men had narrower jaws, longer noses and larger foreheads than straight men, and that gay women had larger jaws and smaller foreheads compared to straight women.”   – Sam Levin, The Guardian

 

Okay what if I am straight?

The authors of study which was published in the Journal of Personality and Social Psychology, Dr. Michal Kosinski and Yilun Wang, claim that this algorithm can also be used as a similar AI system which could be trained to spot others human traits such as IQ or political views. They are also warning us against this AI develop process because it can turn into something that we don’t really want to in our lives.

It is happening now!

Police in the UK are piloting a new project which provides to use AI to determines how someone is likely to commit the crime. Seems familiar? Back to that what I wrote at the beginning of my post, Steven Spielberg (Director) and Philip K. Dick (writer) were right. AI is going to prevent us from committing the crime.

 

“(…) The system has 1,400 indicators from this data that can help flag someone who may commit a crime, such as how many times someone has committed a crime with assistance as well as how many people in their network have committed crimes. People in the database who are flagged by the system’s algorithm as being prone to violent acts will get a “risk score,” New Scientist reported, which signals their chances of committing a serious crime in the future. (…)

(…) Donnelly told the New Scientist that they don’t plan to arrest anyone before they’ve committed a crime, but that they want to provide to those who the system indicates might need it. He also noted that there have been cuts to police funding recently, so something like NDAS (National Data Analytics Solution) could help streamline and prioritize the process of determining who in their databases most needs intervention. (…)”
– Melanie Ehrenkranz, gizmodo.com

The project now is in its infancy in comparison to how important it can be for the future of the justice system.

To sum up my post, there are billions of facial images of people that are publicly available on social media sites, government databases and also these ones which come from the streets cameras. In my opinion we should try to care more about our privacy in a media and don’t let the governments to have that serious impact on our lives because as we know the systems are like people, they sometimes fail.

 

 

 

Sources:

https://bit.ly/2Pg2urN
https://bit.ly/2BMzAMk
https://bit.ly/2AHTgiE
https://bit.ly/2AGC9Og
https://bit.ly/2So735a

Photos:

https://bit.ly/2KONqAT
https://bit.ly/2BL0jJ1
https://bit.ly/2AHX9Eg
https://bit.ly/2riurpi

author: Michał Żelazo

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We are one step closer to the Orwellian reality

 

Probably everyone has heard about 1984 by George Orwell, a grim dystopian novel about brain washing and surveillance at every step. Well, I have bad news for all of us, we just got a step closer to this reality. Recently, China has been developing their own AI program, and they are reaping the benefits.

The Chinese company Xloong has probably changed the history of police forever by developing glasses, but not so normal glasses, oh no! Smart glasses that recognize faces from a police database. In 100 miliseconds they compare your face with 10.000 others! Already during the testing phase it is clearly visible that this small gadget surpasses intelligent CCTV with the same features. In a short period of time, 26 people were identified as users of fake IDs, thus preventing them from traveling by train (Well, Chinese travel laws are so weird that I could make another article about them, so let’s not get into them right now). Also several other people were identified by their misdeeds, ranging from traffic infringements to human trafficking, but we don’t know the exact number, nonetheless it is a great achievement!

At the same time, Chinese government is building a system that will recognize any Chinese citizen in just 3 seconds, and (probably) will be compatible with glasses designed by Xloong, providing ability to identify anyone at any given moment. Recent use of this advanced gadget to prevent protesters from entering a designated area strongly suggests that this is a milestone of early 21st century in terms of surveillance and infringing on people’s privacy.

Sources:

https://www.independent.co.uk/news/world/asia/china-police-facial-recognition-sunglasses-security-smart-tech-travellers-criminals-a8206491.html

https://www.theverge.com/2018/3/12/17110636/china-police-facial-recognition-sunglasses-surveillance

https://asia.nikkei.com/Business/Companies/Chinese-startup-makes-facial-recognition-glasses-for-police

Getty Images

 

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No more f-word while driving

How often a poor road surface drives you to madness? It would be great to visit car mechanic only on the occasion of a routine control. Wouldn’t it?

Inventors of the US company called RoadBotics found an answer to this problem. They offer a smartphone-enabled road inspection tool that creates the map of the condition of the road surface. The solution based on deep learning algorithms examines data from a video made by smartphone located behind the windshield of the vehicle. It recognizes problems such as cracks and potholes. In this way, the tool analyzes a 10-foot road section and assigns its level of damage. The results are presented on a five-point scale where 1 – green is an excellent surface condition and 5 – red is failed.

“This assessment does not suggest what needs to be done, but serves as a triage tool, allowing your engineers and public works staff to narrow down on what requires immediate attention. It complements your current process and enables your municipality to reduce time spent on inspecting roads and focus on maintenance.”[1]

Savannah is the city that has already employed this solution. RoadBotics has analyzed half of the streets and roadways in the city within a few months at the costs of nearly 25 000 $. Normally, the city would have to hire interns who would take 3 years to perform an analysis of the road conditions in the entire city.

Heath Lloyd, the City’s Chief Infrastructure and Development Officer said:

“This partnership with RoadBotics will allow us to better assess the overall condition of City roadways and increase the accuracy of the data collected. It ultimately allows us to be more effective in managing the replacement of our infrastructure”[2]

RoadBotics was introduced to URBAN-X, the leading accelerator for startups. It is constantly working on developing its product, among others using it in self-driving cars.

 

 

Sources :

https://techcrunch.com/sponsored/this-company-created-a-high-tech-solution-to-a-2500-year-old-problem/

https://www.urban-x.com/company/roadbotics/

https://www.savannahga.gov/CivicAlerts.aspx?AID=1927

 

 

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The new, best way to deal with cyber-attacks?

Darktrace autonomous AI-system finds out about any digital threats, before they get severe.

Information leaks happen almost every day in the Internet. Meanwhile most of the engineers try to find a way to prevent hackers from getting into the digital systems, some of them noticed that it might be better to do it the other way around. In 2013 with that idea in mind, Darktrace has been created.

A group of former MI5 agents joined forces with Cambridge mathematicians with a mission in mind to develop a new tool to fight cyber-attacks. Interestingly enough, they decided to use AI to make that happen. As their philosophy states ‘Pit the machines against the machines to keep your data safe.‘.

So how does it really work and why is it effective? Frankly, it is quite simple. Darktrace connects their software with company’s system. From that moment, the AI starts monitoring all the activities that occur within the digital infrastructure. Furthermore, it is learning how does the company operate.

Well, you may now ask yourself a question why is it all for? With all of the data accumulated, Dartktrace’s software can now easily detect any instances of unusual activities or deviations. This is called unsupervised learning, a very rare type of machine learning, that doesn’t require any information from us humans, to know what to look for.  This really revolutionized the market, because before that we used supervised learning, which is quite the opposite. In that case we had to provide data to the AI in order to allow it to learn about the threats and problems that may occur. Although it works fine in most of the cases, it has its flaws too. The main problem is that it is useless when unknown threats appear. That’s where Darktrace has the advantage.

Darktrace software here just neutralized an anomalous, dangerous behaviour

For example, in 2017 the software was introduced to one of the Las Vegas casinos. Although the company states, that their AI usually is not really useful within first days of working due to its learning process taking at least a week, just after its start, it registered some unusual activities. It turned out, that their recently installed fish tank, which had electronic sensors connected to the servicing company, had transferred over 10GB of data to an external device, which did not belong to the company. After some digging they have found the hacker all the way in Finland.

As Dawn Song, a cybersecurity and machine-learning expert at the University of California, Berkeley stated “the whole system is as secure as its weakest link” and that is the great example of that.

An example of how Darktrace interface looks like.

What also accumulates to their superiority over the market is the accessibility. Their software is really easy to use and to see through. They also provide consultations, if anyone from the IT department encounters any problems with the software. Although co-chief executive Poppy Gustafsson said that they do not want to focus on that part of service “We don’t do consulting” she said “Our tech is not just about detecting cyber threat but also to autonomously respond.”.

Also interesting is the fact that the whole idea was inspired by human body. In one of the interviews, the co-CEO of the company, Nicole Eagan said “It’s very much like the human body’s own immune system,” and moreover  “As complex as it is, it has this innate sense of what’s self and not self. And when it finds something that doesn’t belong—that’s not self—it has an extremely precise and rapid response.”

This start-up has been performing incredibly ever since it was created. In March 2015 they were evaluated at 80M dollars. Only three years later in September 2018 they are valued at over 1,65 billion dollars. This rapid growth is was mainly accelerated by Mike Lynch and his Venture Fund, Invoke Capital. He owns right now over 40% of the company making him the shareholder with the highest ownership.

Although right now it may seem for you, as if this is a perfect software and solution to cyber-crime, it has its flaws too. Some IT workers had reported that this AI-based system, continuously reports multiple deviations throughout the day, to the point when they had to stop checking the alerts, just because it was a waste of their time. Furthermore, Darktrace’s plans for their customer are not cheap at all, which can make them less desirable.

Frankly, I would say that even though it will help bigger companies to eliminate some threats, especially from the inside, it is nowhere near the perfect solution yet.

What do you think about this start-up? Are AI-based systems the solution to our problem with cyber-crime? Let me know in the comments.

 

 

References:

https://www.wired.co.uk/article/darktrace-insider-threats-hackers-security

https://www.ft.com/content/2fa5bade-cb09-11e8-9fe5-24ad351828ab

https://msp-partner.com/darktrace/

https://www.cnbc.com/2018/08/07/billion-dollar-start-up-darktrace-is-fighting-cybercrime-with-ai.html

https://www.technologyreview.com/s/612427/the-rare-form-of-machine-learning-that-can-spot-hackers-who-have-already-broken-in/

https://www.darktrace.com/en/overview/

https://www.wired.co.uk/article/darktrace-insider-threats-hackers-security

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A system that makes calls for you – Google Duplex

Are you the kind of person that hates phone calls, or do you have too little time to handle them all?


Google has announced a system that will solve your problem. It is finally possible to have a natural conversation with computers. Google’s new AI system, Google Duplex, sounds as natural as a real human being! It understands, contextualizes and has correct timing.

Here is an example of how Duplex could schedule an appointment at the hair salon for you.

 

Of course, this could be invaluable in the business world. Duplex could:

  • allow organizations to reduce their customer service teams,
  • allow customers to book at any time, even in the middle of the night,
  • remind customers about their upcoming appointments and reduce no-shows,
  • give information that is not available online – and upload the information online to reduce similar calls.

 

One would expect that a system like this would have a lot of bugs and would not work in the real life. Watch Duplex talking to a woman that barely speaks English and making an appointment at a restaurant.

 

For normal users Duplex could also be very useful and could save people time. This graphic shows an usual way to use Duplex.

According to www.wired.com the technology is, unfortunately, not perfect yet. WIRED writer, Lauren Goode, answered a call in a demo in June. She was very surprised that Duplex sounded just like a real person and she thinks this can be disorientating. She managed, however, to confuse the bot by saying something about allergies in the middle of a discussion about available times for a restaurant reservation.

According to neowin.net, there is also going to be a new feature that works together with Duplex. It enables the Assistant to respond to and reject unwanted commercials with minimal imput. It will also provide transcripts.

Google has announced that Duplex will be available on their smartphones, Pixel. However, this is for now only available in a few big cities in the US. There is no information on when, or if at all, it is going to be launched in Europe, but for the moment it’s still considered in the experimental phase. 

 


Do you think that Google Duplex will become a revolutionary system? What would you use it for? Let me know in the comments!


 

More info at:

AI Google Blog, 25th November 2018

Wired, 25th November 2018

TechRadar, 25th November 2018

VentureBeat, 25th November 2018

Business Insider, 25th November 2018

Neowin, 25th November 2018

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South Korea is building Terminators

A few days ago the information was spread saying that KAIST is working on advanced war robots equipped with artificial intelligence. KAIST stands for “Korea Advanced Institute of Science and Technology”, a university and also a research institute that is responsible for many innovations in the field of robotics.

In order to create a war robots (allegedly), the university established cooperation with Hanwha Systems. The purpose of both brands is to create autonomous robots that will be able to kill the designated targets. As we can read on the corporate website: „As a defense electronics company, Hanwha Systems has significantly advanced the defense capabilities of South Korea’s military since the company was founded in 1978”. Hanwha Systems, with whom KAIST cooperates, is the largest arms producer in Korea and the main supplier of equipment for the South Korean military. It is also worth mentioning that the company is responsible for creating cluster bombs, which are prohibited in over 120 countries.

Boston Dynamic’s Atlas robot

Toby Walsh, a lecturer at the University of New South Wales, is the initiator of a boycott against both Hanwha Systems and the Korean university. Other scientists who worked mainly on artificial intelligence also joined the initiative. There are about 30 of them in total and they announced that they will not cooperate with KAIST so long as this one does not stop researching a new weapon. The president of the Korea Advanced Institute of Science and Technology – Sung-Chul Shin said, “I reaffirm once again that KAIST will not conduct any research activities counter to human dignity including autonomous weapons lacking meaningful human control”. It is worth mentioning that not only the Korean university is conducting research on advanced robots that could be used for military purposes. The most known company working on advanced robots is Boston Dynamics, which used to belong to Google (Alphabet).

 

Sources:

https://nypost.com/2018/04/05/south-korean-university-may-be-developing-killer-robots/

https://en.wikipedia.org/wiki/KAIST

https://www.hanwha.com/en/about_hanwha/history.html

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