Throughout history, women have faced discrimination. This Inequality has been a long-present social evil. Whether it be voting rights or access to equal healthcare women have stood up against social evils whenever they see this inequality creeping in. But what if they are unaware that discrimination of some form is happening to them how will that be rectified. This is the problem that today's closed guarded black box AI algorithms pose towards society.

Facebook has worked for years to revamp its handling of political ads -- but researchers who conducted a comprehensive audit of millions of ads say the social media company's efforts have had uneven results. The problems, they say, include overcounting political ads in the U.S. -- and undercounting them in other countries. And despite Facebook's ban on political ads around the time of last year's U.S. elections, the platform allowed more than 70,000 political ads to run anyway, according to the research team that is based at the NYU Cybersecurity for Democracy and at the Belgian university KU Leuven. Their research study was released early Thursday. They also plan to present their findings at a security conference next August.

The Council of Europe is taking part in the third edition (online) of the "Athens Roundtable on Artificial Intelligence and the Rule of Law" on 6 and 7 December. Organised by the Future Society and ELONTech under the Patronage of the President of the Hellenic Republic, Katerina Sakellaropoulou, the event is co-hosted by UNESCO, the Council of Europe, the European Parliament's Panel on the Future of Science and Technology (STOA), IEEE SA, the Center on Civil Justice at the NYU School of Law and the National Judicial College, among other institutions. It will also address important issues at the intersection of AI, industry, government and law, including civil liability regimes, regulatory compliance, privacy and consumer protection, and judicial capacity building. Council of Europe Secretary General Marija Pejčinović Burić is speaking at the opening. The Director of Information Society – Action against Crime, Jan Kleijssen, is taking part in the panel "EU AI Act and Beyond: Regulatory Perspectives from Europe and the United States" and the Head of the Information Society Department, Patrick Penninckx in the panel on "AI and Human Rights".

You want to find network errors fast and need a reliable tool. You are not alone, try Fiddler Everywhere free for 30-days and let this all in one web debugging solution deliver the successful outcomes you expect. My name is Roland Meertens, editor for AI and machine learning at InfoQ and product manager at Annotell. Today I will host the podcast and I will be talking with Joe, Sebastian, and Florian about the Indy Autonomous Challenge and how they managed to win it. Could you maybe introduce yourself to the listeners and tell them about what the Indy Autonomous Challenge is? Joe Speed: Sure, happy to. I'm a technical advisor for the Indy Autonomous Challenge, which is an amazing university challenge for autonomous racing. I was part of the TUM Autonomous Motorsport team. We managed to win the challenge in the end, and my main responsibilities were the mapping and localization part. And my main responsibility in our team was the perception, mainly the object detection. Roland Meertens: All right, maybe we can get started with you Joe. Maybe you can say that about what this Indy Autonomous Challenge is. Joe Speed: It's an amazing program. So, a lot of this is anecdotal. So Sebastian Thrun, who is very much like the godfather of modern autonomous driving, he had won the DARPA Grand Challenge. He was out at Indy and had commented something like, "Some of the things happening autonomy are not that exciting to me anymore, but if this, if the Indy 500 was autonomous, that would be interesting.

What is low-code and no-code? We also review the leading vendors with low- and no-code offerings. There are 12 technology trends to act as force multipliers of digital business and innovation over the next three to five years according to Gartner. Gartner defines Hyperautomation as a "disciplined, business-driven approach to rapidly identify, vet and automate as many business and IT processes as possible. Hyperautomation enables scalability, remote operation and business model disruption."

This article appears in the November/December 2021 issue of The American Prospect magazine. The term "artificial intelligence" is widely recognized by researchers as less a technically precise descriptor than an aspirational project that comprises a growing collection of data-centric technologies. The recent AI trend kicked off around 2010, when a combination of increased computing power and massive troves of web data reanimated interest in decades-old techniques. It wasn't the algorithms that were new as much as the concentrated resources and the surveillance business models capable of collecting, storing, and processing previously unfathomable amounts of data. In other words, so-called "advances" in AI celebrated over the last decade are primarily the product of significantly concentrated data and computing resources that reside in the hands of a few large tech corporations like Amazon, Facebook, and Google.

The best virtual agents can avoid the need for some tickets to be submitted to help desk by offering up information that a user can use to self-service an issue or by resolving the issue directly by triggering an automated workflow such as a password reset. When a ticket does need to be submitted a virtual agent can ensure that tickets are fully-formed and “actionable”. Virtual agents can also relieve analysts from chasing down users for more information and handling repeatable mundane requests. It shouldn’t come as a surprise, therefore, that many of the most forward-looking IT organizations are already leveraging virtual agents to transform their service desks. Who Is Using Them? What is interesting, perhaps, is that these organizations are not limited to any one industry or type of business. Here are a few examples: City government—wanted to accelerate issue resolution and improve IT costs with a conversational approach to issue determination and resolution; deployed a virtual agent to drive self-service uptake and improve automation; and expect a 30% improvement in costs, along with enhancements to user satisfaction and service desk productivity. Global software company—hoped to streamline user interactions by completing and triaging tickets (or deflecting them altogether), and surveying users once issues have been resolved; installed a virtual agent to optimize the number of requests directed to its service desk catalog and automate as many workflows as possible; and forecast a 35% improvement in overall support costs. Managed service provider—decided to offer a key customer a solution which improved user satisfaction by reducing telephone support wait times; implemented a virtual agent in front of the customer’s interactive voice response system to divert users’ inquiries to a self-service knowledge base whenever possible; predict a 30% reduction in call volumes and a similar improvement in customer wait times. Multinational electronics manufacturer—resolved to increase the productivity of employees by enabling them to report issues on mobile devices removing the need for them to leave the manufacturing floor to access a computer terminal to do so; deploy a virtual agent as a first point of contact, enabling simple requests to be diverted to a knowledge database and issues resolved intuitively; anticipate at least a 30% improvement in support and service costs. State government—elected to improve the adoption of self-service resolution of issues by providing a more intuitive way for users to obtain assistance; installed a virtual agent as a conversational interface with simple issues routed to relevant sections of a help desk knowledge base for self-service resolution; expecting a 3x increase in the amount of issues resolved without analyst involvement. The ability of the best virtual agents to have an impact in such a wide variety of businesses and governments is, in part, due to them being agnostic to the ITSM environments into which they are deployed. They can, consequently, be deployed anywhere. Insight and Learnings Luma, the virtual agent that we’ve developed here at Serviceaide, and purpose-built for IT service management, already integrates seamlessly with leading ITSM solutions from  CA Technologies, Cherwell, Freshservice and ServiceNow, and we will be are adding other leading ITSM platforms. And, of course, Luma also connects to our own Intelligent Service Management solution. Organizations, across a variety of industry sectors, have deployed Luma, or are in the process of doing so. I’m excited about these successes and look forward to sharing more details about them with you in future blog articles – I’m especially eager to describe the interesting things we’ve learned during the development and onboarding process in each instance, as I’m sure that this will be very insightful to others about to embark on a virtual agent deployment. Thanks for reading. We hope that our blog articles can inform and start conversations. If this article piques your interest, but leaves you wanting more, let me know.

China had its sputnik moment in March 2016. That month an artificial intelligence programme, AlphaGo, beat a South Korean grandmaster at Go, an extremely complex and demanding Chinese board game. The five game series was watched by an audience of more than 280 million viewers across China. In May 2017 AlphaGo defeated China's 19-year-old prodigy Ke Jie; two months later the Chinese government issued an AI strategy which projected that the country would become the global centre of AI innovation by 2030. By year's end, China accounted for nearly half of all AI venture funding globally.

Cognitive Space announced the highlights of a very successful year in its mission to dramatically improve the way we monitor the Earth for economic, environmental, and national security understanding. The company helps organizations fly their satellites with new tools for New Space – providing satellite operators and space infrastructure companies with sophisticated SaaS services for optimizing revenue and performance yield, forecasting future capacity, and orchestrating collection management as satellite constellations grow and scale. "The New Space economy is attracting massive investment and is growing exponentially. Space will be filled with thousands of new commercial satellites," said Scott Herman, CEO of Cognitive Space. "But building out the required ground architecture is a major hurdle for New Space companies and usually represents a significant monetary investment, a multi-year time commitment, and major execution risk as they build their business. Cognitive Space provides a blueprint and an operational capability that de-risks and accelerates their buildout schedule, controls costs, and then optimizes their ongoing operations to power their business vision."

As one of the world's busiest airports, (ranked No. 3 in 2018 according to Airports Council International's world traffic report), Dubai International Airport is also a leader in using artificial intelligence (AI). In fact, the United Arab Emirates (UAE) leads the Arab world with its adoption of artificial intelligence in other sectors and areas of life and has a government that prioritizes artificial intelligence including an AI strategy and Ministry of Artificial Intelligence with a mandate to invest in technologies and AI tools. The Emirates Ministry of the Interior said that by 2020, immigration officers would no longer be needed in the UAE. They will be replaced by artificial intelligence. The plan is to have people just walk through an AI-powered security system to be scanned without taking off shoes or belts or emptying pockets.