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VivesDebate-Speech: A Corpus of Spoken Argumentation to Leverage Audio Features for Argument Mining

arXiv.org Artificial Intelligence

In this paper, we describe VivesDebate-Speech, a corpus of spoken argumentation created to leverage audio features for argument mining tasks. The creation of this corpus represents an important contribution to the intersection of speech processing and argument mining communities, and one of the most complete publicly available resources in this topic. Moreover, we have performed a set of first-of-their-kind experiments which show an improvement when integrating audio features into the argument mining pipeline. The provided results can be used as a baseline for future research.


Implicit Temporal Reasoning for Evidence-Based Fact-Checking

arXiv.org Artificial Intelligence

Leveraging contextual knowledge has become standard practice in automated claim verification, yet the impact of temporal reasoning has been largely overlooked. Our study demonstrates that time positively influences the claim verification process of evidence-based fact-checking. The temporal aspects and relations between claims and evidence are first established through grounding on shared timelines, which are constructed using publication dates and time expressions extracted from their text. Temporal information is then provided to RNN-based and Transformer-based classifiers before or after claim and evidence encoding. Our time-aware fact-checking models surpass base models by up to 9% Micro F1 (64.17%) and 15% Macro F1 (47.43%) on the MultiFC dataset. They also outperform prior methods that explicitly model temporal relations between evidence. Our findings show that the presence of temporal information and the manner in which timelines are constructed greatly influence how fact-checking models determine the relevance and supporting or refuting character of evidence documents.


8 Best Human Behaviour Datasets For Machine Learning - Liwaiwai

#artificialintelligence

Human behaviour describes how people behave and interact. It is based on and affected by a number of elements, including genetic makeup, culture, personal values and attitudes. In this article, we will look at the 8 Best Human Behaviour Datasets for Machine Learning. The World Bank's World Development Indicators dataset – Common use cases of this dataset include: The U.S. Census Bureau's American Community Survey dataset – Common use cases of this dataset include: The Pew Research Center's Global Attitudes Survey dataset – Common use cases of this dataset include: The U.S. Centers for Disease Control and Prevention's Behavioural Risk Factor Surveillance System dataset – Common use cases of this dataset include: The U.S. National Institutes of Health's National Health and Nutrition Examination Survey dataset – Common use cases of this dataset include: The U.S. Bureau of Labor Statistics' Consumer Expenditure Survey dataset – Common use cases of this dataset include: The U.S. Social Security Administration's Baby Names dataset – Common use cases of this dataset include: Researchers, policymakers, and businesses can all benefit from studying behaviour since it can help them better understand how people behave and how that affects the economy, health and other facets of society. These datasets are also available for anyone to download and use freely.


In the Tech War with China, the U.S. Is Finding Friends

TIME - Tech

Whether the topic of the day is Chinese spy balloons or American AI breakthroughs, Washington and Beijing are increasingly seeing world events through the lens of a "tech war." This ever intensifying rivalry is usually framed as "America vs. China," but that misses a key point: America is not alone. America's greatest competitive advantage over China is not wealth or weapons, but the fact that America has a lot of close friends, and China has none. In fact, The only country that has signed a treaty to support China in the event of a war is North Korea, an impoverished pariah state that deliberately schedules nuclear tests and missile launches to embarrass China during high-profile diplomatic summits. Treaty or no, few would describe China and North Korea as friends.


Should Algorithms Control Nuclear Weapons Launch Codes? The US Says No

WIRED

Last Thursday, the US State Department outlined a new vision for developing, testing, and verifying military systems--including weapons--that make use of AI. The Political Declaration on Responsible Military Use of Artificial Intelligence and Autonomy represents an attempt by the US to guide the development of military AI at a crucial time for the technology. The document does not legally bind the US military, but the hope is that allied nations will agree to its principles, creating a kind of global standard for building AI systems responsibly. Among other things, the declaration states that military AI needs to be developed according to international laws, that nations should be transparent about the principles underlying their technology, and that high standards are implemented for verifying the performance of AI systems. It also says that humans alone should make decisions around the use of nuclear weapons.


News

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C3 AI is a leading enterprise AI software provider building enterprise-scale AI applications and accelerating customers' digital transformation. For example, C3 AI Law Enforcement helps local government agencies use machine learning (ML) to organize and analyze datasets, surfacing valuable information in near real time. "C3 AI and AWS have been extremely engaged to develop a solution that is accessible to local government agencies of any size who are dealing with the same challenges that we are," said Kimberly Honciano, Director of Technology Services at the San Mateo County Sheriff's Office. "We are excited about what we've seen so far because it will not only eliminate data siloes and improve case efficiency, but also unlock enterprise analytics in a way that wasn't possible for us before." This SCA, which started in 2016, focuses on pairing AWS's scalability, innovation, and agility with C3 AI's industry-leading software.


Cybersecurity Defenders Are Expanding Their AI Toolbox - Technology Org

#artificialintelligence

Cybersecurity scientists have taken a key step toward harnessing a form of artificial intelligence known as deep reinforcement learning, or DRL, to protect computer networks. When faced with sophisticated cyberattacks in a rigorous simulation setting, deep reinforcement learning was effective at stopping adversaries from reaching their goals up to 95 percent of the time. The outcome offers promise for a role for autonomous AI in proactive cyber defense. Scientists from the Department of Energy's Pacific Northwest National Laboratory documented their findings in a research paper and presented their work Feb. 14 at a workshop on AI for Cybersecurity during the annual meeting of the Association for the Advancement of Artificial Intelligence in Washington, D.C. The starting point was the development of a simulation environment to test multistage attack scenarios involving distinct types of adversaries.


US Air Force is giving military drones the ability to recognise faces

New Scientist

The US Air Force can now equip autonomous drones with face recognition technology, raising fears that they could be used to find and kill specified people. The drones will be employed by special operations forces for intelligence gathering and for missions in foreign countries, according to a contract between the Department of Defense (DoD) and Seattle-based firm RealNetworks. The company's software, based on machine learning, is designed to work on a drone that is piloting itself, with limited or …


'Political propaganda': China clamps down on access to ChatGPT

The Guardian

Chinese regulators have reportedly clamped down on access to ChatGPT, as Chinese tech firms and universities push forward with developing domestic artificial intelligence bots. ChatGPT, the popular discussion bot created by US-based OpenAI, is not officially available in China, where the government operates a comprehensive firewall and strict internet censorship. But many had been accessing it via VPNs, and some third-party developers had produced programs that gave some access to the service. Those programs have disappeared from WeChat accounts. Multiple reports have said that major tech firms including WeChat's parent company, Tencent, and Ant Group, have been ordered to cut access to the programs.


UK needs its own 'BritGPT' or will face an uncertain future, MPs hear

Oxford Comp Sci

The UK needs to support the creation of a British version of ChatGPT, MPs were told on Wednesday, or the country would further lose the ability to determine its own fate. Speaking to the Commons science and technology committee, Adrian Joseph, BT's chief data and artificial intelligence officer, said the government needed to have a national investment in "large language models", the AI that underpins services such as ChatGPT, Bing Chat and Google's Bard. Without such technology, the nation would struggle to compete internationally in future, he said. "We think there's a risk that we in the UK, lose out to the the large tech companies, and possibly China, and get left behind … in areas of cybersecurity, of healthcare, and so on. It is a massive arms race that has been around for some time, but the heat has certainly been turned up most recently."