Politically sensitive topics are still a challenge for open-domain chatbots. However, dealing with politically sensitive content in a responsible, non-partisan, and safe behavior way is integral for these chatbots. Currently, the main approach to handling political sensitivity is by simply changing such a topic when it is detected. This is safe but evasive and results in a chatbot that is less engaging. In this work, as a first step towards a politically safe chatbot, we propose a group of metrics for assessing their political prudence. We then conduct political prudence analysis of various chatbots and discuss their behavior from multiple angles Figure 1: Illustration of responses from different chatbots through our automatic metric and human in a political conversation. Abortion law is a topic evaluation metrics. The testsets and codebase that often leads to divisive political debates.

The Federal Reserve System (the Fed) plays a significant role in affecting monetary policy and financial conditions worldwide. Although it is important to analyse the Fed's communications to extract useful information, it is generally long-form and complex due to the ambiguous and esoteric nature of content. In this paper, we present FedNLP, an interpretable multi-component Natural Language Processing system to decode Federal Reserve communications. This system is designed for end-users to explore how NLP techniques can assist their holistic understanding of the Fed's communications with NO coding. Behind the scenes, FedNLP uses multiple NLP models from traditional machine learning algorithms to deep neural network architectures in each downstream task. The demonstration shows multiple results at once including sentiment analysis, summary of the document, prediction of the Federal Funds Rate movement and visualization for interpreting the prediction model's result.

WASHINGTON--The Biden administration launched an initiative Thursday aiming to make more government data available to artificial intelligence researchers, part of a broader push to keep the U.S. on the cutting edge of the crucial new technology. The National Artificial Intelligence Research Resource Task Force, a group of 12 members from academia, government, and industry led by officials from the White House Office of Science and Technology Policy and the National Science Foundation, will draft a strategy for potentially giving researchers access to stores of data about Americans, from demographics to health and driving habits. They would also look to make available computing power to analyze the data, with the goal of allowing access to researchers across the country. "This is a moment that is calling us to be strengthening our speed and scale" when it comes to advances in AI technology, said National Science Foundation Director Sethuraman Panchanathan in an interview. "It is also calling us to make sure that innovation is everywhere."

WASHINGTON--The Biden administration launched an initiative Thursday aiming to make more government data available to artificial intelligence researchers, part of a broader push to keep the U.S. on the cutting edge of the crucial new technology. The National Artificial Intelligence Research Resource Task Force, a group of 12 members from academia, government, and industry led by officials from the White House Office of Science and Technology Policy and the National Science Foundation, will draft a strategy for creating an AI research resource that could, in part, give researchers secure access to stores of anonymous data about Americans, from demographics to health and driving habits. They would also look to make available computing power to analyze the data, with the goal of allowing access to researchers across the country. "This is a moment that is calling us to be strengthening our speed and scale" when it comes to advances in AI technology, said National Science Foundation Director Sethuraman Panchanathan in an interview. "It is also calling us to make sure that innovation is everywhere."

What is AI? Everything you need to know about Artificial Intelligence The Biden administration on Thursday announced the formation the National Artificial Intelligence (AI) Research Resource Task Force, a group of 10 AI experts who will create a plan for giving AI researchers more access to data, computational resources and other tools. Congress mandated the creation of the task force when it passed the National AI Initiative Act of 2020. The group will set up the National AI Research Resource (NAIRR) -- shared research infrastructure that the White House says will "spur AI innovation and economic prosperity nationwide." The NAIRR will be designed for AI researchers and students across all scientific disciplines. "By bringing together the nation's foremost experts from academia, industry, and government, we will be able to chart an exciting and compelling path forward, ensuring long-term US competitiveness in all fields of science and engineering and all sectors of our economy," NSF Director Sethuraman Panchanathan said in a statement.

This first blog post will focus on how Artificial Intelligence (AI) evolved throughout the years, I will mention and describe some of the milestones of this evolution and analyse how it became part of our lives and how it will become even more important in the future. Digital technology has been one of the fastest-growing tech in the history of mankind, today our phones have hundreds of GB of storage and process data faster than a computer would a few decades ago, the only other branches of technology that have developed this quickly are weapons. It is not rare to hear how computers were'as big as a room' but one of the most interesting examples of the leap of digital technology, specifically information technology, dates back to 1969 when a computer with only 14kb of ram steered and landed the Saturn V and its human hosts on the moon. To put that into perspective, the blog that I am now writing will occupy more than 14kb of space in my storage, nowadays, we are used of talking about Megabytes or Gigabytes, or even Terabytes. Using kilobytes for everyday use would be like weighing a person in grams.

This virtual seminar, hosted by the RAeS Weapon Systems and Technology Specialist Group, will examine current understanding of Artificial Intelligence (AI), how it is presently used, and crucially, how it may be used in weapon systems in the future. The seminar will address the perceived challenges that AI brings and will also look at the ethical issues and where the boundaries of AI may lay. Our speakers are leading experts in this field and this seminar offers a unique opportunity to understand some of the advances in this field of science that is new to many in the weapons community. The seminar aims to generate discussion and debate between the speakers and the audience with the objective of better understanding the issues that the use of AI brings and to identify possible solutions. Strategic / Threat Analysts; Intelligence and Security professionals; Futures Researchers; Policy Advisors; those working in Cyber, Scientific, Technical fields; Defence Industry and Government Officials, those working in Academia and Think Tanks; those with an interest in AI in the Weapons and Technology domain.

Synthetic Identity Fraud is the fastest-growing financial crime in the U.S. Payments System. FiVerity develops and markets AI and Machine Learning solutions that detect sophisticated forms of cyber fraud, delivering actionable, proactive threat intelligence. The company's solutions meet the unique requirements for financial institutions with consumer offerings, including banks, credit unions, credit card providers, and online lenders. SynthID Detect identifies fraud and cyber threats at your financial institution in real-time.

The U.S. National Science Foundation and the Office of Science and Technology Policy announce the government, academic and private sector representatives who will serve on the task force The U.S. National Science Foundation and the White House Office of Science and Technology Policy today announced the formation of the National Artificial Intelligence Research Resource Task Force. As directed by Congress in the "National AI Initiative Act of 2020," the task force will serve as a federal advisory committee, developing an implementation roadmap for the National AI Research Resource, a shared research infrastructure providing AI researchers and students across all scientific disciplines with access to computational resources, high-quality data, educational tools and user support. The task force will provide recommendations for establishing and sustaining the National AI Research Resource, including technical capabilities, governance, administration, assessment and requirements for security, privacy, civil rights and civil liberties. It will also submit two reports to Congress that will comprise a comprehensive roadmap and implementation plan. The task force will deliver an interim report in May 2022 and a final report in November 2022.

Many believe that cybersecurity is an exciting field to work in, and indeed it is. Yet being responsible for an organization's IT Security is no easy feat. Attackers always seem to be a few steps ahead of defenders. It often feels like a game of one against many – from petty criminals to nation-states. It would be highly advantageous if our cybersecurity tools could automatically adapt to these threats.