artificial intelligence Archives

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ComplexDiscovery is an online publication that highlights data and legal discovery insight and intelligence ranging from original research to aggregated news for use by business, information technology, and legal professionals. The highly targeted publication seeks to increase the collective understanding of readers regarding data and legal discovery information and issues and to provide an objective resource for considering trends, technologies, and services related to electronically stored information.

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From Tech to Reality: Deep Truths About Deepfakes

As shared by Steve McNew, an MIT trained blockchain/cryptocurrency expert and senior managing director at FTI Consulting, “Online videos are exploding as a mainstream source of information. Imagine social media and news outlets frantically and perhaps unknowingly sharing altered clips — of police bodycam video, politicians in unsavory situations or world leaders delivering inflammatory speeches — to create an alternate truth. The possibilities for deepfakes to create malicious propaganda and other forms of fraud are significant.”

December 24, 2019
2 minute read

Discovering Deepfakes? Fighting Fake News with Blockchain

In her recent article, “Fighting Fake News with Blockchain,” e-Estonia Briefing Centre Communication Manager Mari Krusten highlights how the innovative use of blockchain can help in ensuring data integrity and serve as a trustworthy tool for addressing challenges ranging from alternative facts to deepfakes.

November 21, 2019
3 minute read

Fair and Balanced Search? New NIST Initiative Addresses Information Retrieval Bias

“It’s now recognized that systems aren’t unbiased. They can actually amplify existing bias because of the historical data the systems train on,” said Ellen Voorhees, a NIST computer scientist. “The systems are going to learn that bias and recommend you take an action that reflects it.”

November 19, 2019
4 minute read

From Big Oil to Big Data? AI, Machine Learning, and the Montreal Data License

The emergence of ML and AI is already shaping society, political systems and our economies. The underlying assets driving such changes are largely informational. Access and licensing of data can thus be understood as one of the cornerstone of the development of ML and AI. This is true in an abstract sense, but when combined to the fact that there exists a widening data gap between multinational firms with platform-based business models on one hand, and governments, citizens and other businesses on the other, the need for clarity in data licensing becomes imperative.

October 16, 2019
3 minute read

U.S. Leadership in AI: A Plan from NIST

“The federal government can help the U.S. maintain its leadership in AI by working closely with our experts in industry and academia, investing in research, and engaging with the international standards community,” said Under Secretary of Commerce for Standards and Technology and NIST Director Walter G. Copan. “This plan provides a path to ensure the federal government supports AI standards that are flexible and inclusive—and suited for a world of rapidly changing technologies and applications.”

August 23, 2019
3 minute read

EU Data Protection and Policy: Considering Artificial Intelligence

As AI gains strategic importance, it is essential to shape global rules for its development and use. In promoting the development and uptake of AI, the European Commission has opted for a human-centric approach, meaning that AI applications must comply with fundamental rights. In this context, the rules laid down in the GDPR provide a general framework and contain specific obligations and rights that are particularly relevant for the processing of personal data in AI.

July 27, 2019
3 minute read

Machine Translation: The Importance of Document-Level Evaluation

Research suggests that when it comes to evaluating entire documents, human translations are rated as more adequate and more fluent than machine translations. Human raters assessing adequacy and fluency show a stronger preference for human over machine translation when evaluating documents as compared to isolated sentences. This suggests that the way machine translation is evaluated needs to evolve away from a system where machines consider each sentence in isolation.

May 8, 2019
2 minute read

Sonasoft Signs Definitive Purchase Agreement to Acquire E-Connect Software, Inc.

Sonasoft announces that it has signed a definitive purchase agreement to acquire the data engineering and artificial intelligence (AI) company, E-Connect Software, Inc., and all its related interests, assets, and intellectual property. E-Connect Software, Inc. is a data engineering and AI consulting firm with deep expertise and a proven track record in data management, cloud migrations, and data integration.

May 2, 2019
3 minute read

Designing Delegation to Optimize Artificial Intelligence and Human Interaction

Even those who believe that humans will be obsolete in value chains must explore a transitory period when computers must still learn from humans. New work arrangements might facilitate the computers’ ability to examine billions of alternatives. At the same time, humans could contribute their ability to generate new alternatives from connecting otherwise unintelligible dots.

April 26, 2019
3 minute read

Focusing on Artificial Intelligence? Seven Questions For Vendors With AI Products

The frenetic and much-touted world of artificial intelligence (AI) has poured into the legal industry like a storm surge. Lawyers who lack technical expertise or feel overwhelmed by jargon and arcane mathematical concepts are at a distinct disadvantage in this technology-oriented new world. Vendors can make assertions with little risk of cross-examination.

April 9, 2019
2 minute read

Four Eras of eDiscovery? One Approach to Framing Market Growth

With the understanding that there are many ways to construct a framework for considering and conversing about market growth over time, provided in a talking point format is one era-based approach that may be helpful for deconstructing time frames, market size, growth rates, and investment pulse rates for the eDiscovery market from 2002 through 2023. This era-based approach also attempts to put a memorable “face” on each defined growth period by associating each era with one prominent eDiscovery platform from that era.