The IEEE Standards Association has released a report calling for engineers to consider the impact their work will have on climate change, children, and society. The Institute of Electrical and Electronics Engineers (IEEE) is one of the largest organizations for computer scientists in the world. With hundreds of thousands of members, the group undertakes initiatives to create common standards and often consults organizations like the European Commission and OECD on matters of ethics and design principles. "It is imperative to move beyond business as usual and to prioritize the well-being of our children, starting with protecting their privacy and security online. If we fail to do this, their agency, mental health, and self-actualization as humans in any culture will be reliant on forces beyond their control," reads the report titled "Measuring What Matters in the Era of Global Warming and the Age of Algorithmic Promises." The whitepaper encapsulates change already underway at the IEEE that's in line with AI ethics principles released in spring 2019 after years of work, according to John Havens, director of the IEEE Global Initiative on Ethics of Autonomous & Intelligent Systems.

Computers are scanning London's roads, with a 98% accuracy rate in identifying vehicles and people. And they are are learning all the time.

BEIJING/HONG KONG (Reuters) - When the man from Hangzhou returned home from a business trip, the local police got in touch. They had tracked his car by his license plate in nearby Wenzhou, which has had a spate of coronavirus cases despite being far from the epicenter of the outbreak. Stay indoors for two weeks, they requested. After around 12 days, he was bored and went out early. This time, not only did the police contact him, so did his boss.

CMS launches healthcare outcomes challenge. Expect more artificial intelligence (AI) in healthcare in 2020. We will see AI used primarily in diagnostics and auditing. In each of these areas, AI promises to impose drastic changes on society. As these changes reverberate through organizations, old work patterns will be disrupted.

A study by recently launched research firm Omdia has revealed the huge shift for communications service providers (CSPs) and the wider tech ecosystem that will be created by the wider adoption of 5G products and services. The analyst says that the report, 5G and beyond: Connecting the dots at MWC20, aims to "connect the dots" between the strategies, technologies, companies and market trends that are impacting industries as they transition to 5G, providing an overview of the interrelated opportunities and challenges. As well as predicting that 5G will take the consumer market by storm, with 5G-enabled smartphone shipments expected to grow eight-fold by 2021, Omdia believes the growth prospects for 5G in enterprises are "enormous", with global 5G enterprise mobile subscriptions set to rise from 500,000 in 2019 to 175 million by 2024. It predicts that the global 5G smartphone market will surge to 231 million units shipped by the end of 2020, up from 29 million in 2019, and will double again in 2021. Omdia says this growth will be driven by declining device costs, which will be in the $700-$800 range in the next two years, making them more affordable.

To kick off the Future Development blog in 2020, we present the fourth in a four-part series on the future of development. A couple of years ago, Vladimir Putin warned Russians that the country that led in technologies using artificial intelligence will dominate the globe. He was right to be worried. Russia is now a minor player, and the race seems now to be mainly between the United States and China. But don't count out the European Union just yet; the EU is still a fifth of the world economy, and it has underappreciated strengths.

As recently as 25 to 30 years ago, few could have envisioned exactly how far technology would come. By do-it-all-for-you computers which literally fit in the palm of the hand into the beginning of machine-learning capacities, technological improvements create regular lifestyle and work-related actions more efficient and productive. Business owners, consequently, are leveraging advanced technologies so as to maximize their supply chains. More importantly, how are they coming along concerning overall maturity or maturity? Forbes magazine recently throws a spotlight onto a number of them and just how far off these inventions are from reaching the industrial market – if they have not already.

As recently as 25 to 30 years ago, few could have envisioned exactly how far technology would come. By do-it-all-for-you computers which literally fit in the palm of the hand into the beginning of machine-learning capacities, technological improvements create regular lifestyle and work-related actions more efficient and productive. Business owners, consequently, are leveraging advanced technologies so as to maximize their supply chains. More importantly, how are they coming along concerning overall maturity or maturity? Forbes magazine recently throws a spotlight onto a number of them and just how far off these inventions are from reaching the industrial market – if they have not already.

Facial recognition is being widely embraced as a security tool -- law enforcement and corporations alike are rolling it out to keep tabs on who's accessing airports, stores, and smartphones. As it turns out, the technology is fallible. Researchers with the artificial-intelligence firm Kneron announced that they were able to fool some facial-recognition systems using a printed mask depicting a different person's face. The researchers, who tested systems across three continents, said they fooled payment tablets run by the Chinese companies Alipay and WeChat, as well as a system at a border checkpoint in China. In Amsterdam, a printed mask fooled facial recognition at a passport-control gate at Schiphol Airport, they said.

Facebook scientists have proposed using watermarks to identify when online images get used to train neural networks. The proposal appears to be aimed at least in part at the rise of big data startups, such as Clearview AI, that are scraping publicly available photographs from social networks and other sites and using them for facial recognition purposes, prompting privacy concerns (see: Facial Recognition: Big Trouble With Big Data Biometrics). Neural networks are a type of machine learning that involves using a large set of training data to devise rules that can be used to identify future patterns (see: What's Artificial Intelligence? To detect if training sets have used Facebook images, a team of the company's researchers has proposed building a system that can be used to find out. "We have developed a new technique to mark the images in a data set so that researchers can determine whether a particular machine learning model has been trained using those images," say Facebook researchers Alexandre Sablayrolles, Matthijs Douze and Hervé Jégou in a blog post.