copyright by innovationorigins.com 

By means of artificial intelligence, machine learning, and implants, the brain would not only be able to pick up the mental control of the body again but could do the same for its senses.

Looking, feeling, hearing, smelling, controlled movement: these are essential functions in a person’s life. Those who miss them are literally limited in their functioning. Restoring these kinds of functions is the main objective of the Donders ICAI-lab, which was opened in June at the Radboud University in Nijmegen. In doing so, the lab draws on recent developments in various disciplines, which together offer new perspectives on major advances in neurotechnology. The AI solutions devised here should also open up important new areas for the business community. Hence the close collaboration between research, government, and entrepreneurship within the Donders AI For Neurotech Lab.

ICAI Labs

Radboud University has been researching AI, Artificial Intelligence, since the late eighties. The ICAI (Innovation Center for Artificial Intelligence) labs in Nijmegen are developing techniques specifically aimed at the medical world. ICAI is a national network focused on developing technology and talent in the field of Artificial Intelligence. Radboud University opened the first two ICAI labs in 2019. The Netherlands now has fifteen; in Amsterdam, Delft, Den Bosch, Eindhoven, Nijmegen, and in Utrecht. Each ICAI lab has its own specialty.

According to Marcel van Gerven, scientific director of the Donders ICAI lab, AI is important for innovation and a way to gain insight and influence on, for example, human cognition. Also in this corona era, these developments are still moving science forward. Van Gerven: “In Nijmegen, there are more and more collaborations with Radboud University in the field of, for example, brain-computer interfacing. People with the so-called locked-in syndrome who are totally paralyzed can still communicate with the help of a computer.”

Brain implants

An example is a headset that measures brain activity. To develop this, a lot of research needs to be done into how the brain works. Van Gerven: “We mainly focus on the use of brain implants, but in Nijmegen, a lot of research is also being done into EEG. This is a method to measure the electrical activity of the brain. It is a non-invasive procedure, in which the electrodes are usually stuck to the scalp.”

AI can be used much more widely. “Think of solutions to restore the visual perception of blind people. Or to develop methods that can control muscles, suppress epileptic seizures, and help paralyzed people to communicate. We don’t focus on the development of the implants themselves, but on the AI that controls them.”

International collaborations

To achieve all this, Radboud University works together with national and international institutes and companies, such as the Netherlands Institute for Neuroscience (NIN), UMC Utrecht, TU Delft, Eindhoven University of Technology, and universities in Belgium, Germany, and Spain. Within the Donders lab itself, there is a collaboration with organizations such as Phosphoenix, Advanced Bionics, Oneplanet Research Center and Abbott. […]

Read more: innovationorigins.com 

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Copyright by Mark Minevich and Irakli Beridze

With the imposition of lockdowns, limitations of movement, the closure of borders and other measures to contain the virus, the operating environment of law enforcement agencies and those security services tasked with protecting the public from harm has suddenly become ever more complex. They find themselves thrust into the middle of an unparalleled situation, playing a critical role in halting the spread of the virus and preserving public safety and social order in the process. In response to this growing crisis, many of these agencies and entities are turning to AI and related technologies for support in unique and innovative ways. Enhancing surveillance, monitoring and detection capabilities is high on the priority list.

For instance, early in the outbreak, Reuters reported a case in China wherein the authorities relied on facial recognition cameras to track a man from Hangzhou who had traveled in an affected area. Upon his return home, the local police were there to instruct him to self-quarantine or face repercussions. Police in China and Spain have also started to use technology to enforce quarantine, with drones being used to patrol and broadcast audio messages to the public, encouraging them to stay at home. People flying to Hong Kong airport receive monitoring bracelets that alert the authorities if they breach the quarantine by leaving their home.

In the United States, a surveillance company announced that its AI-enhanced thermal cameras can detect fevers, while in Thailand, border officers at airports are already piloting a biometric screening system using fever-detecting cameras.

Isolated cases or the new norm?

With the number of cases, deaths and countries on lockdown increasing at an alarming rate, we can assume that these will not be isolated examples of technological innovation in response to this global crisis. In the coming days, weeks and months of this outbreak, we will most likely see more and more AI use cases come to the fore.

While the application of AI can play an important role in seizing the reins in this crisis, and even safeguard officers and officials from infection, we must not forget that its use can raise very real and serious human rights concerns that can be damaging and undermine the trust placed in government by communities. Human rights, civil liberties and the fundamental principles of law may be exposed or damaged if we do not tread this path with great caution. There may be no turning back if Pandora’s box is opened.

In a public statement on March 19, the monitors for freedom of expression and freedom of the media for the United Nations, the Inter-American Commission for Human Rights and the Representative on Freedom of the Media of the Organization for Security and Co-operation in Europe issued a joint statement on promoting and protecting access to and free flow of information during the pandemic, and specifically took note of the growing use of surveillance technology to track the spread of the coronavirus. They acknowledged that there is a need for active efforts to confront the pandemic, but stressed that “it is also crucial that such tools be limited in use, both in terms of purpose and time, and that individual rights to privacy, non-discrimination, the protection of journalistic sources and other freedoms be rigorously protected.”

This is not an easy task, but a necessary one. So what can we do?

Ways to responsibly use AI to fight the coronavirus pandemic

1. Data anonymization: While some countries are tracking individual suspected patients and their contacts, Austria, Belgium, Italy and the U.K. are collecting anonymized data to study the movement of people in a more general manner. This option still provides governments with the ability to track the movement of large groups, but minimizes the risk of infringing data privacy rights.
2. Purpose limitation: Personal data that is collected and processed to track the spread of the coronavirus should not be reused for another purpose. National authorities should seek to ensure that the large amounts of personal and medical data are exclusively used for public health reasons. The is a concept already in force in Europe, within the context of the European Union’s General Data Protection Regulation (GDPR), but it’s time for this to become a global principle for AI.
3. Knowledge-sharing and open access data: António Guterres, the United Nations Secretary-General, has insisted that “global action and solidarity are crucial,” and that we will not win this fight alone. This is applicable on many levels, even for the use of AI by law enforcement and security services in the fight against COVID-19. These agencies and entities must collaborate with one another and with other key stakeholders in the community, including the public and civil society organizations. AI use case and data should be shared and transparency promoted.
4. Time limitation:  Although the end of this pandemic seems rather far away at this point in time, it will come to an end. When it does, national authorities will need to scale back their newly acquired monitoring capabilities after this pandemic. As Yuval Noah Harari observed in his recent article, “temporary measures have a nasty habit of outlasting emergencies, especially as there is always a new emergency lurking on the horizon.” We must ensure that these exceptional capabilities are indeed scaled back and do not become the new norm.

Within the United Nations system, the United Nations Interregional Crime and Justice Research Institute (UNICRI) is working to advance approaches to AI such as these. It has established a specialized Centre for AI and Robotics in The Hague and is one of the few international actors dedicated to specifically looking at AI vis-à-vis crime prevention and control, criminal justice, rule of law and security. It assists national authorities, in particular law enforcement agencies, to understand the opportunities presented by these technologies and, at the same time, to navigate the potential pitfalls associated with these technologies.

Working closely with International Criminal Police Organization (INTERPOL), UNICRI has set up a global platform for law enforcement, fostering discussion on AI, identifying practical use cases and defining principles for responsible use. Much work has been done through this forum, but it is still early days, and the path ahead is long.

While the COVID-19 pandemic has illustrated several innovative use cases, as well as the urgency for the governments to do their utmost to stop the spread of the virus, it is important to not let consideration of fundamental principles, rights and respect for the rule of law be set aside. The positive power and potential of AI is real. It can help those embroiled in fighting this battle to slow the spread of this debilitating disease. It can help save lives. But we must stay vigilant and commit to the safe, ethical and responsible use of AI.

It is essential that, even in times of great crisis, we remain conscience of the duality of AI and strive to advance AI for good.

Read more – by techcrunch.com

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copyright by www.telegraphindia.com

Two hugely contrasting worldviews about the digital revolution, inspired by an interconnected world of machines, algorithms and cloud-based technologies, were posited at the start of the 17th edition of Infocom 2018, an ABP initiative, at ITC Sonar on Thursday.

Steven van Belleghem, author and digital evangelist-entrepreneur from Belgium, kicked off the proceedings with a rah-rah presentation to buttress the theme for the event — When Digital Becomes Human — and soon had a roomful of participants all gung-ho about the digital revolution that will soon overtake their lives by letting machines do the boring, repetitive chores while they can simply concentrate on being what they are good at: just being human.

Belleghem’s presentation began with a video of a vacuum-cleaning robot disciplining his children at home. After breakfast, as Steven switches on the robot, it makes a “tutu” sound. When his children look askance, he tells them they have precisely 30 seconds to clear up. And that sends them scrambling to pick up their toys.

“The robot has more authority over our children than us,” says Belleghem candidly. Steven’s household has two humans and a robot raising two children, an ideal example of the combined strength of digital and human.

But that is just the sort of happy domestic scene that Bengal’s IT and finance minister Amit Mitra has very deep misgivings about.

Just when anyone with even a smidgen of digital technology knowledge has started to become ecstatic about the mind-boggling opportunities that artificial intelligence (AI) can throw up, Mitra decided to play challenger — and he cloaked his argument with the academic-speak of an economist.

“To me as a student of economics and econometrics, I see pattern recognition. Our mind is not able to cognate such a large volume of patterns. So, one of the interesting things about AI is pattern recognition. From pattern recognition you go to the next step… big data patterns. But where I have a problem is modelling based on data; I am sorry, I don’t agree with it. You can’t ingest data and produce a model,” the minister said.

Mitra believes that the zealots who are plugging the virtues of AI are going about it the wrong way round.

“We in the world of economics first create a theoretical framework, which then leads to a hypothesis. We don’t prove a hypothesis, we try to falsify (it). Now, we are hearing that by churning data, you can produce a model. I would like to challenge that. It’s the reverse of what the positivistic process is about. Can you produce a model out of patterns? You can draw conclusions from patterns, begin to see certain patterns, but hypothesis-building is a different game altogether,” said Mitra who earned his doctorate in economics from Duke University in the US.[…]

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