Crystal Cody is the Public Safety Technology Director for the City of Charlotte responsible for all technology related to Police, Fire, and the regional Radio Network. She has been in this role for six months and previously held the role of Computer Technology Solutions Manager for the Charlotte-Mecklenburg Police Department. In her twenty-year career with the City of Charlotte, she has been responsible for the selection, design, implementation, and management of all software applications used by the Police Department, and more recently, Public Safety. Her most notable accomplishments during this time are the implementation of CMPD's custom Records Management System, Computer Aided Dispatch system, the CRISS NC-LInX regional information sharing system, Predictive Analytics Business Intelligence Dashboards, and the Earl Intervention System along with a myriad of technology projects supporting the daily operations for Public Safety in Charlotte. Crystal worked closely with the staff at University of Chicago's Institute for Data Science and Public Policy in the development of the machine learning model used to identify officers at risk of adverse interactions with citizens and the CMPD has implemented use of the model through the development of an automated workflow for alerts and assessment dashboard.

Artificial Intelligence or AI is set to become a $2.9 trillion dollar industry by 2025, according to global research and advisory firm Gartner. Within the tech industry and the startup ecosystem, the term AI has become so common, that it is almost used ad nauseam. Yet, there is still a certain glamour and intrigue associated with the term. Beyond the cool quotient, how'real' is AI, though? A panel consisting of leaders from Bosch-IERO, Rolls Royce and Accenture sat down to discuss this, at the third edition of YourStory's Future of Work, India's largest product-design-tech conference, on Friday.

Datasaur, a company building a text data-labeling platform, today announced it has raised a $1 million seed round from angel investors like Segment CTO Calvin French-Owen. Coming out of stealth today, Datasaur was founded in February 2019 and uses semi-automated labeling and some pretrained models to speed up the data-labeling process and fuel the improvement of natural language processing (NLP) models. Datasaur was founded by Ivan Lee, who has spent the past seven years working as a product manager on AI ventures at companies like Yahoo, most recently for Apple's Siri team. Before working at Apple, Lee sold mobile gaming startup Loki Studios to Yahoo in 2013. As part of the Winter 2020 batch, Datasaur will present next month at Y Combinator's Demo Day in San Francisco.

Therefore, it is essential, in thinking about'ethics', to look beyond the capacities for ethical decision-making and action and the moments of ethical choice and action and into the background of values and the stories behind the choice and action. Similar arguments have been made to affirm the role of social and relational contexts in limiting ethical choices and shaping moral outcomes, and thus the importance to account for them in our ethical reflection.

Zhongnan Hospital of Wuhan University in Wuhan, China, is at the heart of the outbreak of Covid-19, the disease caused by the new coronavirus SARS-CoV-2 that has shut down cities in China, as well as Iran, Italy, and South Korea. That's forced the hospital to become a test bed for how quickly a modern medical center can adapt to a new infectious disease epidemic. One experiment is underway in Zhongnan's radiology department, where staff are using artificial intelligence software to detect visual signs of the pneumonia associated with Covid-19 on images from lung CT scans. Haibo Xu, professor and chair of radiology at Zhongnan Hospital, says the software helps overworked staff screen patients and prioritize those most likely to have Covid-19 for further examination and testing. He emailed WIRED an audio file of himself answering a reporter's questions about the project and answered other questions by email.

That was the open call for submissions about emerging technology's role in global order put out last summer by the National Security Commission on Artificial Intelligence (NSCAI). RAND researchers stepped up to the challenge, and a wide range of ideas were submitted. Ten essays were ultimately accepted for publication. The NSCAI, co-chaired by Eric Schmidt, the former chief executive of Alphabet (Google's parent company), and Robert Work, the former deputy secretary of defense, is a congressionally mandated, independent federal commission set up last year "to consider the methods and means necessary to advance the development of artificial intelligence, machine learning, and associated technologies by the United States to comprehensively address the national security and defense needs of the United States." The commission's ultimate role is to elevate awareness and to inform better legislation.

Clearview AI, a facial recognition company has sparked privacy concerns surfacing from data stolen - which included its entire list of customers, the number of searches those customers have made – and how many accounts each customer had set up. Clearview's clients are mostly law enforcement agencies, with police departments in Toronto, Atlanta and Florida – all using the technology. During Season Four of the Chris Collins Show – CEO Roland Memesevic from A.I. company – 21 Billion Neurons – addressed whether the government should regulate artificial intelligence: "Yeah, I think that we should all be open to everything and have a very open debate about how we're going to make sure that this is going to be used in a good way... And just running around fixing things in hindsight isn't going to work. I think that it's important that politics and the tech companies get together and figure this out jointly because often – I don't know – there's been backlash from Facebook in hindsight and there's going to be more backlash. It's like we're trying to patch things and other things pop up over here becoming another issue."

It is a truism of our age that we suffer from a deficit of trust. But in some areas of technology, the opposite is true: there is an alarming surfeit of trust. That was one of the findings of the National Transportation Safety Board's report published last week into the fatal crash of a semi-automated Tesla in California in 2018. The investigators concluded that the Model X sport utility vehicle failed to read the road conditions correctly and accelerated into a crash barrier at 70.8mph while the 38-year-old driver was playing a game on his iPhone. As Robert Sumwalt, NTSB's chairman, said, the crash was not only caused by flaws in Tesla's autopilot.

Are artificial intelligence (AI) and superintelligent machines the best or worst thing that could ever happen to humankind? This has been a question in existence since the 1940s when computer scientist Alan Turing wondered and began to believe that there would be a time when machines could have an unlimited impact on humanity through a process that mimicked evolution. Is Artificial Intelligence (AI) A Threat To Humans? When Oxford University Professor Nick Bostrom's New York Times best-seller, Superintelligence: Paths, Dangers, Strategies was first published in 2014, it struck a nerve at the heart of this debate with its focus on all the things that could go wrong. However, in my recent conversation with Bostrom, he also acknowledged there's an enormous upside to artificial intelligence technology.

When the European Commission released the long awaited white paper "On Artificial Intelligence - A European approach to excellence and trust" on February 19, much of the initial public reaction focused on potential AI regulation further challenging the EU's position in light of fierce technological competition from China and the United States. Few discussed the European Commission's document mention of gender and ethical guidelines. Importantly, the white paper calls for "requirements to take reasonable measures aimed at ensuring that [the] use of AI systems does not lead to outcomes entailing prohibited discrimination." This is not simply about a theoretical approach to discrimination. It is largely also about saving (women's) lives - and ensuring that essential products and services meet the needs of both women and men.