Sen. Elizabeth Warren said AI should be regulated to protect privacy and safety following a closed door hearing with tech leaders. Following a closed Senate AI forum with tech giants, union leaders and artificial intelligence experts, Sen. Elizabeth Warren, D-Mass., told reporters Wednesday AI should be regulated to protect privacy. She also criticized the decision to keep media and the public from viewing the hearing. "I do not understand why the press has been barred from this meeting," Warren said. "What most of the people have said is we want innovation, but we have got to protect safety."

Helping patients following a stroke: In emergency rooms, when patients come in with a stroke called an intracerebral hemorrhage, they undergo a CT scan. That scan is examined by a computer trained to analyze CT data, cutting the time to diagnosis and limiting brain damage. Preventing heart problems: Applying AI to ECGs has resulted in a low-cost test that can be widely used to detect the presence of a weak heart pump, which can lead to heart failure if left untreated. Mayo Clinic is well situated to advance this use of AI because it has a database of more than 7 million ECGs. First, all identifying patient information is removed to protect privacy.

Six agencies, including the U.S. Park Police and the FBI said they had used facial recognition on people who participated in protests after the killing of George Floyd by Minneapolis police officer in May 2020. The agencies said they only used it on people they suspected of breaking the law, according to the report. The U.S. Capitol Police used Clearview AI to conduct its investigation into the Jan. 6 attack on the Capitol. Customs and Border Protection and the State Department said they ran searches for Capitol rioters on their own databases at the request of other federal agencies.

On May 24th, researchers from the Technical University of Munich (TUM), Imperial College London, and OpenMined, a non-profit organization published a paper titled "End-to-end privacy-preserving deep learning on multi-institutional medical imaging." The research unveiled PriMIA- Privacy-Preserving Medical Image Analysis that employs securely aggregated federated learning and an encrypted approach towards the data obtained from medical imaging. As the paper states, this technology is a free, open-source software framework. They conducted the experiment on pediatric chest X-Rays and used an advanced level deep convolutional neural network to classify them. Although there exist conventional methods to safeguard medical data, they often fail or are easily breakable.

Stopping the spread of infectious disease has taken on a new urgency. But what's the best way to check large groups of people for signs of illness? One option is to set up a fever screening station. Thermal screening stations are not a new concept. Many of us have walked through them in airports or hospitals.

Two professors of information science have recently published a piece in The Conversation, arguing that AI could help preserve people's privacy, rectifying some of the issues that it has created. Zhiyuan Chen and Aryya Gangopadhyay argue that artificial intelligence algorithms could be used to defend people's privacy, counteracting some of the many privacy concerns other uses of AI have created. Chen and Gangopadhyay acknowledge that many of the AI-driven products we use for convenience wouldn't work without access to large amounts of data, which at first glance seems at odds with attempts to preserve privacy. Furthermore, as AI spreads out into more and more industries and applications, more data will be collected and stored in databases, making breaches of those databases tempting. However, Chen and Gangopadhyay believe that when used correctly, AI can help mitigate these issues.

DAVOS, Switzerland (Reuters) - Sundar Pichai, the CEO of Alphabet Inc and its Google subsidiary, said on Wednesday that healthcare offers the biggest potential over the next five to 10 years for using artificial intelligence to improve outcomes, and vowed that the technology giant will heed privacy concerns. U.S. lawmakers have raised questions about Google's access to the health records of tens of millions of Americans. Ascension, which operates 150 hospitals and more than 50 senior living facilities across the United States, is one of Google's biggest cloud computing customers in healthcare. "When we work with hospitals, the data belongs to the hospitals," Pichai told a conference panel at the World Economic Forum in Davos, Switzerland. "But look at the potential here. Cancer if often missed and the difference in outcome is profound. In lung cancer, for example, five experts agree this way and five agree the other way. We know we can use artificial intelligence to make it better," Pichai added.

Our proposal has three components: The first is a public data pool that would make data accessible to registered users. Local, state and federal governments have sizable data resources that would seed this digital commons. Users would be verified to block foreign governments, hackers and others with ill motives from access, and users would be prevented from using the data to engage in racial or other forms of discrimination and for microtargeted advertising. Some of the data may be very sensitive, and access to those resources would be highly regulated. We can imagine a variety of ways that regulation and technology together could protect privacy and still foster innovation: Data could be anonymized at the source; the commons could have an interface that allowed users to derive insight from the data set, while leaving the underlying information inaccessible; less sensitive data, like weather information, could be made available in a format optimized for training A.I. What's more, methods for safely sharing A.I. models without disclosing the underlying data are being developed today and could enable users of the data commons to collaborate on public-interest A.I. services.

We're seeing the advance of AI everywhere we look--from ordinary applications like our voice-operated virtual assistants, to extraordinary innovations that are changing how we optimize operations, predict behaviour, and even diagnose disease. This presents an unprecedented opportunity for Canada to become a global leader in technology. Canada already produces some of the most sought-after AI talent in the world and has committed upwards of $1 billion in investment. However, along with opportunity, AI comes with many risks. Among the major concerns is how AI technologies will require new ways of thinking about privacy and policy.

We're seeing the advance of AI everywhere we look--from ordinary applications like our voice-operated virtual assistants, to extraordinary innovations that are changing how we optimize operations, predict behaviour, and even diagnose disease. This presents an unprecedented opportunity for Canada to become a global leader in technology. Canada already produces some of the most sought-after AI talent in the world and has committed upwards of $1 billion in investment. However, along with opportunity, AI comes with many risks. Among the major concerns is how AI technologies will require new ways of thinking about privacy and policy.