Ministers and public bodies must reveal the architecture behind algorithms that influence exam results, housing benefit allocations and pothole repairs, under new transparency standards. The UK government has published a transparency standard for algorithms, the series of instructions that a computer follows to complete a task or produce a single outcome. Algorithms have become the focus of increasing controversy, whether through their role in deciding A-level results last year or making decisions about benefit claims. Under the new approach, government departments and public sector bodies will be required to explain where an algorithm was used, why it was used and whether it achieved its aim. There will also be an obligation to reveal the architecture behind the algorithm. It will be tested by several government departments and public sector bodies in the coming months before being reviewed again and formally launched next year.

I am regularly asked to summarize my many posts. I thought it would be a good idea to publish on this blog, every Monday, some of the most relevant articles that I have already shared with you on my social networks. Today I will share some of the most relevant articles about Artificial Intelligence and in what form you can find it in today's life. I will also comment on the articles. AI is everywhere, but how does it make decisions, balance society, and remain free from bias? These days, technology is making leaps in an unprecedented manner.

Baghdad, Iraq – An investigation committee probing the drone attack on Iraqi Prime Minister Mustafa al-Kadhimi earlier this month has felt short on identifying the attackers but released a video footage detailing the events. On Monday, almost three weeks into the investigation, national security adviser Qasim al-Araji said in a news conference that the committee has not accused any specific person or entity but called for collaboration among different parties to further the investigation. According to al-Araji, apart from the drone that caused damage at the prime minister's residence, there was also an unexploded projectile with fingerprints on it but the bomb squad detonated it without collecting the fingerprints. "We have launched an investigation into this matter and are asking for justification on the decision to not collect fingerprints," said al-Araji, adding that both drones were "locally made". No group has claimed responsibility for the attack.

President & CEO of BBB National Programs, a non-profit organization dedicated to fostering a more accountable, trustworthy marketplace. It is one of the biggest conundrums of our time: businesses posting record numbers of available jobs and not being able to fill them. As with most intractable problems, there are multiple forces at play, with one involving the role of technology. Kathryn Dill at the Wall Street Journal recently wrote (paywall): "Companies are desperate to hire, and yet some workers still can't seem to find jobs. Here may be one reason why: The software that sorts through applicants deletes millions of people from consideration."

Attacking image recognition systems with carefully-crafted adversarial images has been considered an amusing but trivial proof-of-concept over the last five years. However, new research from Australia suggests that the casual use of highly popular image datasets for commercial AI projects could create an enduring new security problem. For a couple of years now, a group of academics at the University of Adelaide have been trying to explain something really important about the future of AI-based image recognition systems. It's something that would be difficult (and very expensive) to fix right now, and which would be unconscionably costly to remedy once the current trends in image recognition research have been fully developed into commercialized and industrialized deployments in 5-10 years' time. Before we get into it, let's have a look at a flower being classified as President Barack Obama, from one of the six videos that the team has published on the project page: In the above image, a facial recognition system that clearly knows how to recognize Barack Obama is fooled into 80% certainty that an anonymized man holding a crafted, printed adversarial image of a flower is also Barack Obama.

The lectures will examine what Russell will argue is the most profound change in human history as the world becomes increasingly reliant on super-powerful AI. Examining the impact of AI on jobs, military conflict and human behaviour, Russell will argue that our current approach to AI is wrong and that if we continue down this path, we will have less and less control over AI at the same time as it has an increasing impact on our lives. How can we ensure machines do the right thing? The lectures will suggest a way forward based on a new model for AI, one based on machines that learn about and defer to human preferences. The series of lectures will be held in four locations across the UK; Newcastle, Edinburgh, Manchester and London and will be broadcast on Radio 4 and the World Service as well as available on BBC Sounds.

A thought-leader in cyber technology, Adam Mansour has over 15 years' experience spanning endpoint, network and cloud systems security; audits and architecture; building and managing SOCs; and software development. He is the creator of the IntelliGO Managed Detection and Response platform, acquired by ActZero. When you hear cybersecurity firm Darktrace's customers talk about their experience with the company, they will tell you about'the box' from Darktrace they installed. The idea behind the box is that it allows you to see malicious network traffic and coordinate to the cloud directly so you can react quickly. The main customer feedback is that the box was pretty and showed them lots of nice graphics -- beautiful network maps, gorgeous matrixes, pipe diagrams.

Published today in the Open-Access, Open-Data journal GigaScience is the National COVID-19 Chest Imaging Database (NCCID), a centralised database containing chest X-rays, Computed Tomography (CT) and MRI scans from patients across the UK. Utilising the unique position as the world's single largest integrated healthcare system, the benefits of collecting chest imaging data this large are extensive and already being used by doctors and the research community. The database is already supporting the development of Artificial Intelligence (AI)-powered image processing software and diagnostic products and models being used to predict COVID-19 mortality in the UK. And also has the potential to become a long-term resource for teaching radiologists. These efforts provide the potential to enable faster patient assessment in Accident and Emergency, save clinicians time, and increase the safety and consistency of care across the UK. With the GigaScience paper describing how to access this Open Data resource, the NCCID training data is available to users anywhere in the world, including software developers, academics and clinicians, via a rigorous Data Access Request process.

Philadelphia, PA, Nov. 29, 2021 (GLOBE NEWSWIRE) -- VSBLTY Groupe Technologies Corp. (OTCQB: VSBGF) (CSE: VSBY) (Frankfurt 5VS) ("VSBLTY"), a leading software provider of security and retail analytics technology, today issued its CEO Update to highlight Q3 financial performance as well as recent corporate milestones. VSBLTY CEO & Co-founder Jay Hutton said, "VSBLTY is pleased to report that the third quarter bookings were a strong $4.5 million USD, resulting in a booked to revenue ratio of over 8 to 1 and providing a leading indicator of the Company's revenue growth potential. Q3 revenue reached $522,683 USD, reflecting continued strong sales of both retail and security solutions." Hutton added, "Further encouraging is that Q4 revenue is already considerably ahead of Q3 results and we are anticipating a strong finish to this calendar year." Since the end of Q3 the Company has seen a significant increase in the exercise of its previously issued Warrants, resulting in cash inflows of over $2.8 million USD.

AI is more accessible to young people in the workforce who grew up as'digital natives' with Alexa and self-driving cars as part of the landscape, giving them expectations grounded in their experience of what is possible. That idea set the foundation for a panel discussion at AI World Government on Mindset Needs and Skill Set Myths for AI engineering teams, held this week virtually and in-person in Alexandria, Va. "People feel that AI is within their grasp because the technology is available, but the technology is ahead of our cultural maturity," said panel member Dorothy Aronson, CIO and Chief Data Officer for the National Science Foundation. We might have access to big data, but it might not be the right thing to do," to work with it in all cases. Things are accelerating, which is raising expectations. When panel member Vivek Rao, lecturer and researcher at the University of California at Berkeley, was working on his PhD, a paper on natural language processing might be a master's thesis. "Now we assign it as a homework assignment with a two-day turnaround.