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Language-Generating A.I. Is a Free Speech Nightmare

Slate

"What in the name of Paypal and/or Palantir did you just say about me, you filthy degenerate? I'll have you know I'm the Crown Prince of Silicon Valley, and I've been involved in numerous successful tech startups, and I have over $1B in liquid funds. I've used that money to promote heterodox positions on human enhancement, control political arenas, and am experimenting with mind uploading. I'm also trained in classical philosophy and was recently ranked the most influential libertarian in the world by Google. You are nothing to me but just another alternative future. I will wipe you out with a precision of simulation the likes of which has never been seen before, mark my words."


Artificial Intelligence and ML in Cybersecurity: Is it Worth the Hype?

#artificialintelligence

The world is going digital at a pace faster than the blink of an eye. Artificial intelligence (AI) and machine learning (ML) have been heralded as a means of digital technology that can solve a wide range of problems in different industries and applications. This also includes the realm of cybersecurity. Capgemini's Reinventing Cybersecurity with Artificial Intelligence Report, which was published last year, found that 61% of enterprises say they cannot detect breach attempts today without using AI technologies. In a similar survey by Webroot, it was observed that 89% of IT professionals believe their company could be doing more to defend against cyberattacks.


Amsterdam and Helsinki launch algorithm registries to bring transparency to public deployments of AI

#artificialintelligence

Amsterdam and Helsinki today launched AI registries to detail how each city government uses algorithms to deliver services, some of the first major cities in the world to do so. An AI Register for each city was introduced in beta today as part of the Next Generation Internet Policy Summit, organized in part by the European Commission and the city of Amsterdam. The Amsterdam registry currently features a handful of algorithms, but it will be extended to include all algorithms following the collection of feedback at the virtual conference to lay out a European vision of the future of the internet, according to a city official. Each algorithm cited in the registry lists datasets used to train a model, a description of how an algorithm is used, how humans utilize the prediction, and how algorithms were assessed for potential bias or risks. The registry also provides citizens a way to give feedback on algorithms their local government uses and the name, city department, and contact information for the person responsible for the responsible deployment of a particular algorithm.


Landmark waiver lets drones fly into fire

ZDNet

A landmark emergency waiver granted by the FAA has allowed Verizon to deploy industrial drones to inspect their critical infrastructure during the US wildfires, ensuring first responders have reliable communications for disaster response. The drones are made by a company called Percepto, which are currently operating beyond-line-of-sight for this emergency deployment. The FAA granted Skyward, A Verizon company, a temporary waiver that allows company pilots to fly the Percepto Sparrow drone from their homes to inspect critical communications infrastructure near the Big Hollow wildfire in Washington. The waiver permits operations 24 hours a day, with less than 3 miles of visibility and no pilot or observer on site. This is the first time a Beyond the Visual Line Of Sight waiver has been granted that allows pilots to control the drone from home.


DARPA sets sights on making AI self-aware of complex time dimensions

#artificialintelligence

The Defense Advanced Research Projects Agency (DARPA) is setting its sights on developing an AI system with a detailed self-understanding of the time dimensions of its learned knowledge. DARPA's Time-Aware Machine Intelligence (TAMI) research program and incubator is looking to develop a new class of neural network architectures that incorporate an explicit time dimension as a fundamental building block for network knowledge representation," according to the TAMI program solicitation. The overall goal is to create an AI system that will be able to "think in and about time" when exercising its learned task knowledge in task performance. Current neural networks do not explicitly model the inherent time characteristics of their encoded knowledge. Consequently, state-of-the-art machine learning does not have the expressive capability to reason with encoded knowledge using time.


The state of artificial intelligence-based FDA-approved medical devices and algorithms: an online database

#artificialintelligence

At the beginning of the artificial intelligence (AI)/machine learning (ML) era, the expectations are high, and experts foresee that AI/ML shows potential for diagnosing, managing and treating a wide variety of medical conditions. However, the obstacles for implementation of AI/ML in daily clinical practice are numerous, especially regarding the regulation of these technologies. Therefore, we provide an insight into the currently available AI/ML-based medical devices and algorithms that have been approved by the US Food & Drugs Administration (FDA). We aimed to raise awareness of the importance of regulatory bodies, clearly stating whether a medical device is AI/ML based or not. Cross-checking and validating all approvals, we identified 64 AI/ML based, FDA approved medical devices and algorithms. Out of those, only 29 (45%) mentioned any AI/ML-related expressions in the official FDA announcement. The majority (85.9%) was approved by the FDA with a 510(k) clearance, while 8 (12.5%) received de novo pathway clearance and one (1.6%) premarket approval (PMA) clearance. Most of these technologies, notably 30 (46.9%), 16 (25.0%), and 10 (15.6%) were developed for the fields of Radiology, Cardiology and Internal Medicine/General Practice respectively. We have launched the first comprehensive and open access database of strictly AI/ML-based medical technologies that have been approved by the FDA. The database will be constantly updated.


What investment trends reveal about the global AI landscape

#artificialintelligence

It's a serious competitor and has made massive gains, but China's AI prowess is still often oversold. Our data suggest that America still leads in AI venture capital and other forms of private-market AI investment, and Chinese investors don't seem to be co-opting American AI startups in large numbers. Policymakers should focus on reinforcing the vibrant, open innovation ecosystem that fuels America's AI advantage, and take a deep breath before acting against China's technology transfer efforts and AI abuses. Action is necessary, but misunderstanding China's overall position in AI could lead to rushed or overbroad policies that do more harm than good. AI is a global wave, not a bipolar contest.


Artificial Intelligence and ML in Cybersecurity: Is it Worth the Hype? – IAM Network

#artificialintelligence

The world is going digital at a pace faster than the blink of an eye. Artificial intelligence (AI) and machine learning (ML) have been heralded as a means of digital technology that can solve a wide range of problems in different industries and applications. This also includes the realm of cybersecurity. Capgemini's Reinventing Cybersecurity with Artificial Intelligence Report, which was published last year, found that 61% of enterprises say they cannot detect breach attempts today without using AI technologies. In a similar survey by Webroot, it was observed that 89% of IT professionals believe their company could be doing more to defend against cyberattacks.


Performance Comparison of Crowdworkers and NLP Tools on Named-Entity Recognition and Sentiment Analysis of Political Tweets

#artificialintelligence

Abstract: We report results of a comparison of the accuracy of crowdworkers and seven Natural Language Processing (NLP) toolkits in solving two important NLP tasks, named-entity recognition (NER) and entity-level sentiment (ELS) analysis. We here focus on a challenging dataset, 1,000 political tweets that were collected during the U.S. presidential primary election in February 2016. Each tweet refers to at least one of four presidential candidates, i.e., four named entities. The groundtruth, established by experts in political communication, has entity-level sentiment information for each candidate mentioned in the tweet. We tested several commercial and open-source tools.


Singapore in world first for facial verification

#artificialintelligence

Singapore will be the first country in the world to use facial verification in its national identity scheme. The biometric check will give Singaporeans secure access to both private and government services. The government's technology agency says it will be "fundamental" to the country's digital economy. It has been trialled with a bank and is now being rolled out nationwide. It not only identifies a person but ensures they are genuinely present.