Phil Sokowicz is the co-founder and Managing Director of the legal tech company helpcheck, providing people with easy access to justice. We've seen artificial intelligence technology deployed across a number of industries, making it possible to complete laborious tasks with more speed, accuracy and efficiency. The legal sector is no different. As more firms lean into digital innovation and the use of AI to automate day-to-day tasks, AI is capable of improving services and increasing productivity there too. Although AI in the legal industry is still in its infancy, its applications are already streamlining low-value, repetitive tasks and assisting associates in simplifying the mundane and time-consuming responsibilities of legal practice.

Imagine that as a lawyer, you're able to read hundreds of pages of contracts and cases, just to filter and find keywords, and sentences. Now think again, but within milliseconds. Computers powered by NLP can analyze and interpret thousands of written language papers and filter out whatever information you need. A study from 2016 found that by using NLP and machine learning, researchers could be 79% accurate on how the European Court of Human Rights would rule on a case.

The paper [5] also gives updates on Snorkel's industry use cases with even more applications at scale, for example, Google in Snorkel Drybell to scientific work in MRI classification and automated Genome-wide association study (GWAS) curation, both accepted in Nature Comms.

DeepMind Faces: Google's AI department, otherwise known as DeepMined, the Google-owned AI research company, is the subject of a lawsuit. The lawsuit focuses on the company's use of the personal records of a whopping 1.6 million UK National Service patients, including confidential medical records. The #Google #AI department is getting a class-action lawsuit for gaining 1.6 million confidential medical records of #NHS patients. According to PCGamer, DeepMind received the documents to create a health application the company calls Streams. It was supposed to be an AI-based assistant to help healthcare workers and was previously used by the British National Health Service.

Artificial intelligence (AI) and machine learning have made modern life infinitely easier, quicker and more connected. But the limits of "smart machines" also are on display every day--self-driving cars that crash and catch fire, facial recognition and law enforcement software that are biased against minorities and those with darker skin, and algorithms that eliminate swaths of the population from home loan and credit card qualification. It's clear artificial intelligence needs reasonable boundaries, mathematician and computer scientist Moshe Vardi told those gathered for a virtual symposium, "AI & Society," Sept. 21 and 22. The problem will be reaching agreement on the methods of regulation and implementing them over time, said Vardi, who heads Rice University's Initiative on Technology, Culture and Society. The answer is, right now, that society has given up.

The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. There are 40.3 million victims of human trafficking globally, according to the International Labor Organization. Marinus Analytics, a startup based in Pittsburgh, Pennsylvania, hopes to make a dent in that number. The company's mission is to "serve those working on the frontlines of public safety by developing technology for them to disrupt human trafficking, child abuse, and cyber fraud." For its achievements, Marinus won $500,000 as part of its third-place ranking in the 2021 IBM Watson AI XPRIZE competition.

"Okay, Google, what's the weather today?" "Sorry, I don't understand." Does the experience--interacting with smart machines that don't respond to orders--sound familiar? This failure may leave people feeling dumbfounded, as if their intelligence were not on the same wavelength as the machines'. While this is not the intention of AI development (to interact selectively), such incidents are likely more frequent for "minorities" in the tech world. The global artificial intelligence (AI) software market is forecast to boom in the coming years, reaching around 126 billion US dollars by 2025.

Valhil NFT I, LLC, a wholly owned subsidiary of Valhil Capital, LLC, issued 9 NFTs of 10 minted NFTs in a series titled "Buen Viaje" as securities for the first time in history, through a competitive sale that occurred on October 8, 2021 at the Texas Blockchain Summit. The Offering was underwritten by Valhil Capital, LLC. The NFT securities were marketed and sold to "accredited investors" in a private transaction in reliance on, and in compliance with, an exemption from the registration requirements of the Securities Act provided by Rule 506(c) of Regulation D under the Securities Act. The NFT securities are "restricted securities" as defined in Rule 144 under the Securities Act. The original canvas painting was created live by Mr. Rolando Diaz.

This article is part of a Technology and Innovation Insights series paid for by Samsung. Similar to the relationship between an engine and oil, data and artificial intelligence (AI) are symbiotic. Data fuels AI, and AI helps us to understand the data available to us. Data and AI are two of the biggest topics in technology in recent years, as both work together to shape our lives on a daily basis. The sheer amount of data available right now is staggering and it doubles every two years.

A U.S. Army soldier monitors a 14' Shadow surveillance drone from a control room after it's launched. There is now interest in taking AI beyond the courtroom and into the realms of conflict resolution. There is growing concern that current mediation and peacemaking approaches are proving less and less effective in resolving localized and international conflicts. In response, interest is rising in the potential for artificial intelligence to play a role in advising on or resolving complex conflicts. A combination of situational complexity, intractable positions of opposing sides and escalating costs is driving the search for AI-based approaches that could replace humans in resolving legal cases, international disputes and military conflicts.