Are you protecting your AI innovations?


Breakthroughs in artificial intelligence (AI) include both simple quality of life upgrades and transformative innovations spanning every industry, from autonomous vehicles to medical diagnostic tools. Within these numerous technologies, there are a number of applications well worth patenting, begging the question: do any of your AI discoveries fall under intellectual property (IP)? By asking this question, businesses can take steps to protect their most valuable innovations and ensure they do not fall into the wrong hands. Do not doubt that plenty of people are already protecting their AI inventions. Since the 1960s, more than 300,000 applications for AI-related patents have been filed, and over 1.5 million scientific papers have been published.

EETimes - How Do You Protect Your Machine Learning Investment? -


Manufacturers and suppliers commonly offer maintenance contracts to companies who purchase operation-critical equipment. A preventative maintenance application based on a machine learning (ML) model can be used to help avoid failures that could impact business. To build the model, the manufacturer or supplier must spend time, money, and effort. However, to eliminate the costs of a maintenance contract, the customer could duplicate the model and manage the maintenance without the supplier's assistance. To build a machine learning (ML) model for maintenance, an appropriate training set must be collected and labeled; the architecture and training parameters must be chosen for optimal accuracy–speed trade-offs for the algorithm; and computing time is required to train it.

Veritone Wins 2020 Artificial Intelligence Excellence Awards


The award recognizes two of Veritone's innovative AI solutions, IDentify and Redact Veritone Inc. (NASDAQ: VERI), the creator of the world's first operating system for artificial intelligence, aiWARE, today announced that Business Intelligence Group has named Veritone as a winner in the 2020 Artificial Intelligence Excellence Awards program for its applications Veritone IDentify and Veritone Redact, both of which are powered by Veritone's aiWARE platform. "We are honored to be recognized as a top provider of AI solutions, particularly for our turnkey applications for law enforcement agencies, IDentify and Redact," said Jon Gacek, Head of Government, Legal and Compliance at Veritone. "For the last several years, our team has worked hard to provide innovative tools to accelerate workflows, save costs and valuable resources, and protect the public. This award aligns with the traction we are getting in the market and represents a huge milestone and great recognition for our team. We are excited to continue to bring innovative, pragmatic AI solutions to the table for these important sectors."

Checks and balances in AI ethics


Ethics of AI: While artificial intelligence promises significant benefits, there are concerns it could make unethical decisions. Prefer to listen to this story? Here it is in audio format. Artificial intelligence (AI) is fast becoming important for accountants and businesses, and how it is used raises several ethical issues and questions. While autonomous AI algorithms teach themselves, concerns have been raised that some machine learning techniques are essentially "black boxes" that make it technically impossible to fully understand how the machine arrived at a result.

Over 100 people held for unauthorized drone flights in Japan in 2019

The Japan Times

Japanese police arrested or took other action against 115 people for civil aviation law violations linked to unauthorized drone flights in 2019, up 31 from the previous year, government data showed Thursday. The National Police Agency tally included 51 foreign nationals, of whom 19, the largest group, were Chinese. Seven were from the United States. Last year, the number of cases that led to police actions stood at 111. Of them, 54 cases happened as offenders tried to take commemorative pictures, while 34 cases were flight operation exercises, according to the NPA data.

Artificial intelligence and the regulatory landscape Lexology


Currently, the European Union does not have any specific legislative instrument or standard to regulate the use and development of AI. However, these requirements are likely to set the stage for future legislation, similar in scope and effect as the General Data Protection Regulation (GDPR) for privacy, therefore indicating that the European Union may be on the cusp of providing for specific and unique AI regulatory legislation.

Speech recognition technology is racist, study finds


New evidence of voice recognition's racial bias problem has emerged. Speech recognition technologies developed by Amazon, Google, Apple, Microsoft, and IBM make almost twice as many errors when transcribing African American voices as they do with white American voices, according to a new Stanford study. All five systems produced these error rates even when the speakers were of the same gender and age, and saying the exact same words. We can't know for sure if these technologies are used in virtual assistants, such as Siri and Alexa, as none of the companies disclose this information. If they are, the products will be offering a vastly inferior service to a huge chunk of their users -- which can have a major impact on their daily lives.

AI Outlook: Europe initiates AI regulation introducing the principle of trustworthy AI Technology's Legal Edge


On February 19, 2020, the European Commission presented its White Paper on Artificial Intelligence – A European Approach to Excellence and Trust, a much-anticipated policy document setting out concrete measures and proposed regulation with the objective of promoting the development, uptake and use of AI applications, while also addressing the resulting fundamental rights challenges. The document has raised concerns among companies about whether new rules on AI will negatively impact businesses developing or deploying AI solutions across the EU. Feedback on the white paper can be provided until May 19, 2020. The white paper proposes a dual approach. It aims to establish an "ecosystem of excellence" on the one hand, and "an ecosystem of trust" on the other hand.

AI legal service uses technology to help users get bill extensions for coronavirus-related hardships

Daily Mail - Science & tech

A company known for its AI-powered legal services wants to use its technology to help people experiencing coronavirus-related financial hardships get extensions on their bills. The new service from DoNotPay is designed to automate the process of producing waivers for rent, credit card, or utility bill payments in the face of financial hardships related to an ongoing coronavirus pandemic that has sidelined many people from their jobs. Specifically, the service automatically identifies bills that are eligible for an extension or late fee waiver and then drafts a'compassionate and polite request' to the relevant party. If the request is denied, DoNotPay say it will send a second correspondence citing relevant stat or local laws that allow for such a request. Among the laws are those enacted by California and New York which prohibit landlords from imposing fees or evicting tenants while the pandemic continues.

CCBE Considerations on the Legal Aspects of Artificial Intelligence


The Council of Bars & Law Societies of Europe has recently published a paper discussing some legal aspects of artificial intelligence. The paper first addresses the relationship between artificial intelligence and human rights (especially the right to a fair trial, the right to freedom of expression, the right to freedom of assembly and association, the right to life in the context of smart weapons and algorithmically operated drones, the right to privacy and data protection). Secondly, use of AI by Courts and its criticalities are addressed, particularly non-delegation of the judge's decision-making power, possibility to verify data input and compliance with GDPR. Finally, liability issues and the impact of AI on legal practice are discussed.