Digitisation, automation and datafication permeate policing and justice more and more each year -- from predictive policing methods through recidivism prediction to automated biometric identification at the border. The sociotechnical issues surrounding the use of such systems raise questions and reveal problems, both old and new. Our article reviews contemporary issues surrounding automation in policing and the legal system, finds common issues and themes in various different examples, introduces the distinction between human "retail bias" and algorithmic "wholesale bias", and argues for shifting the viewpoint on the debate to focus on both workers' rights and organisational responsibility as well as fundamental rights and the right to an effective remedy.

World Health Organization (WHO) reported that 80% of patients experienced these symptoms mildly. However, older people ( 60 years old) and persons with co-morbid diseases are at a higher risk for severe symptoms and death (Velavan & Meyer, 2020; World Health Organization, 2020). Besides, younger patients with no underlying disease might also experience severe symptoms or even death (Jahromi, Avazpour, et al., 2020; The Washington Post, 2020; Yousefzadegan & Rezaei, 2020). The first positive case of COVID-19 in the United States was reported in the state of Washington on January 20, 2020. By March 17, 2020, Covid-19 has spread across all US states (Centers for Disease Control and Prevention, 2020; Saad B. Omer et al., 2020). Figure 1 shows the aggregated COVID-19 positive case and death count maps for all US states until November 6, 2020. Reports showed that on November 6, 2020, the top states for positive COVID-19 cases are California, Texas, Florida, New York, and Illinois, while the top 5 states for death cases are New York, Texas, California, New Jersey, and Florida.

Outgoing Secretary-General of the Organisation for Economic Co-operation and Development (OECD) ... [ ] Angel Gurria applauds as new Secretary-General of the Organisation for Economic Cooperation and Development (OECD) Mathias Cormann, of Australia, takes over at the OECD headquarters in Paris, Tuesday, June, 1 2021. A recent study from the Pew Research Center showed that 53% of people in 20 countries feel that artificial intelligence has been a good thing for society. While over half the world's population has a positive view of AI, this means that one in every three people in these countries are concerned about the impacts AI can have on society. How do we ensure that AI is trustworthy and its benefits are shared by all? As the statistics show, while there is incremental improvement, there is still a level of hesitancy and suspicion towards AI among the citizens around the world.

One of Rembrandt's finest works, Militia Company of District II under the Command of Captain Frans Banninck Cocq (better known as The Night Watch) from 1642, is a prime representation of Dutch Golden Age painting. But the painting was greatly disfigured after the artist's death, when it was moved from its original location at the Arquebusiers Guild Hall to Amsterdam's City Hall in 1715. City officials wanted to place it in a gallery between two doors, but the painting was too big to fit. Instead of finding another location, they cut large panels from the sides as well as some sections from the top and bottom. The fragments were lost after removal.

Like any technology, AI has just as much potential for harm as for good. Some experts predict that once the excitement and novelty of AI-assisted clinical procedures wear off, problems will begin to pop up. For example, few of the 130 AI devices the U.S. Food and Drug Administration (FDA) has approved over the past couple of years have been tested in clinical trials. As a result, AI could miss a tumor during a CT scan, recommend the wrong medication, give a hospital bed to a patient who needs it less than another and produce many other errors. And if there is a fundamental flaw in the programming, it could misdiagnose thousands of patients instead of just one.

Dr. Dhonam Pemba is the CEO and Co-Founder of KidX, he is a neural engineer by education, a former rocket scientist by work, and AI entrepeneur by entrepeneurship. He received his Biomedical Engineering undergraduate degree from Johns Hopkins University, and hi PhD from the University of California, Irvine also in BME, but worked on neural interface for his thesis. Can you me about the NASA JPL project and how it was related to your PhD work? My PhD work was building micro implantable neural implants. Very similar to the work that Elon Musks's company Neuralink is now doing.

NASA's InSight lander is struggling to retain power as it explores Mars as dust is accumulating on its solar panels, which could result in its mission ending within the next year. The American space agency announced Tuesday that 80 percent of the solar panels are obstructed by dust, leaving less than 700 watt-hours of power per Martian day. It was hoped that winds would clean the lander and allow it to continue to collect seismic data on its extended mission, which was supposed to last until the end of 2022. NASA attempted to remove dust from the top on InSight earlier this month using the lander's robotic arm, which trickled sand near one solar panel with the hopes wind would carry off the panel's dust. NASA's InSight lander is struggling to retain power as it explores Mars due to Martian dust accumulating on its solar panels, which could result in its mission within the next year The death of InSight was discussed at a June 21 meeting of NASA's Mars Exploration Program Analysis Group, SpaceNews reports.

IMAGE: A new machine-learning method developed by researchers at the University of Minnesota, University of Pittsburgh, and U.S. Geological Survey will provide more accurate stream and river temperature predictions, even when... view more Machine learning algorithms do a lot for us every day--send unwanted email to our spam folder, warn us if our car is about to back into something, and give us recommendations on what TV show to watch next. Now, we are increasingly using these same algorithms to make environmental predictions for us. A team of researchers from the University of Minnesota, University of Pittsburgh, and U.S. Geological Survey recently published a new study on predicting flow and temperature in river networks in the 2021 Society for Industrial and Applied Mathematics (SIAM) International Conference on Data Mining (SDM21) proceedings. The study was funded by the National Science Foundation (NSF). The research demonstrates a new machine learning method where the algorithm is "taught" the rules of the physical world in order to make better predictions and steer the algorithm toward physically meaningful relationships between inputs and outputs.

Editor's note: This is the second part of a two-part series. The first installment can be found here. The first part installment in this series examined the benefits of Artificial Intelligence/Machine Learning (AI/ML) and noted the considerations that regulatory bodies are studying for use with AI/ML algorithms. The second and final installment explores the past and current regulations, and summarizes the latest framework proposed by the U.S. Food and Drug Administration's (FDA). While current guidance around AI/ML implementation in medical devices is lacking, the FDA is working to solve the problem.

The Biden administration launched a new task force June 10 that will work across healthcare, technology and other sectors to make government data more available to artificial intelligence researchers, according to The Wall Street Journal. The White House Office of Science and Technology Policy and the National Science Foundation will lead the task force, dubbed the National Artificial Intelligence Research Resource Task Force. The group comprises 12 members from academia, government and industry organizations. The task force will develop a strategy for creating an AI research resource that could give researchers secure access to anonymous data about Americans, from demographics to health habits. Medical data could also be made available for research by both private and academic institutions, officials said.