Articles Posted in Artificial Intelligence

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Although retired as an active law librarian, I try to keep up with current developments by maintaining memberships in AALL, SLA, ABA, and maintaining contacts with friends currently active in the profession. I also have been publishing articles on the Criminal Law Library Blog since 2007 on various subjects, including those related to law, law librarians, and artificial intelligence.

I am grateful to have been able to maintain all of these relationships through the years and hope the below article will help my professional colleagues realize the potential of AI as a powerful ally. In my view, AI has the potential to revolutionize the services provided by law librarians through various means including those outlined below.

  1. Enhanced Legal Research
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From the ABA Science and Technology Section:

The Science and Technology Section will be holding a webinar, Responsible Generative AI Usage for Attorneys, on Tuesday July 9, 2024, 1-2pm E.T. the webinar  is designed to introduce attorneys to one of the most powerful tools available to attorneys: generative artificial intelligence. We’re all aware of the opportunities and pitfalls that A.I. presents to attorneys. This discussion will help you understand how to responsibly use A.I. to further your practice, whether you work in transactional law or litigation, all while complying with your ethical obligations and avoiding mishaps.

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Law libraries are undergoing a transformation fueled by Artificial Intelligence (AI). While AI isn’t replacing librarians, it’s becoming a powerful tool that’s changing how legal research is conducted and how libraries serve their patrons.

The history of artificial intelligence in law libraries is a fascinating journey marked by technological evolution, legal industry demands, and the gradual integration of advanced tools to support legal research, information management, and decision-making processes. Here’s a historical overview of this subject:

Early Beginnings and Development

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The United States has an important lead in the development of artificial intelligence that is crucial to the country’s economy and national security, Attorney General Merrick B. Garland said at the American Bar Association’s 39th National Institute on White Collar Crime in San Francisco. “The Justice Department’s first job is to protect that lead and to protect our intellectual property,”… . According to Garland, “the Justice Department just will not tolerate theft of trade secrets in the area of artificial intelligence.”

From the ABA announcement:

During a fireside chat with Kenneth A. Polite Jr., former assistant attorney general for the U.S. Department of Justice’s Criminal Division, Garland announced that the U.S. District Court for the Northern District of California had unsealed an indictment against a Chinese national who is charged with stealing AI-related intellectual property and trade secrets from Google.Garland said AI and other evolving technologies have “great promise and the risk of great harm … including algorithmic discrimination that AI can foster and the way in which it can accelerate the cyberattacks that are happening daily, even ‘minutely,’ on our companies, on our law firms, on our departments of the government and on our military.”
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Eyewitness accounts, once considered a gold standard, have faced increasing scrutiny due to their susceptibility to memory errors and biases. Forensic evidence, while highly valuable, comes with its own set of limitations, such as the time-consuming nature of analysis and the potential for contamination.

Enter the age of technology, which has drastically altered the way law enforcement approaches suspect identification. Innovations in data collection, processing, and analysis have paved the way for faster and more accurate identification techniques. The advent of artificial intelligence (AI) technology has proven particularly transformative, revolutionizing the field of criminal investigations.

Eyewitness identification remains a cornerstone of criminal justice, despite its well-documented weaknesses. Human memory is fallible, susceptible to stress, suggestion, and bias. Artificial intelligence (AI) offers a potential revolution in this domain, but its impact is a double-edged sword.
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Microsoft has sponsored and published a valuable collection of essays on the future of AI written by a  group of experts, with specialties encompassing a broad spectrum—spanning the fields of business, economics, education, engineering, healthcare, history, law, mathematics, medicine, mental health, psychology, and the sciences—to explore the capabilities of GPT-4 before its public release and provide their insightful reflections” on the future of AI. The collection includes an Introduction, Reflections on AI and the Future of Human Flourishing. by Eric Horvitz, Chief Scientist at Microsoft.

Experts who participated  in this project were asked to consider the following two questions when preparing their essays:

How might this technology and its successors contribute to human flourishing?

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Between December 3, 2023, and January 3, 2024, LexisNexis Legal and Professional conducted a survey across 266 Managing Partners and other leaders at American Law 200 and other large law firms. Nearly a third of the executives surveyed indicated their firms had a dedicated budget for generative AI for 2024 and almost 90% indicated they expect their investment in generative AI to increase over the next five years. “Findings include results from 114 executives across 68 Am Law 200 firms, 102 executives across 79 other  large law firms, and 50 executives across 44 Fortune 1000 companies. Firms recognize the potential return on their investment, with 47% believing generative AI technology will decrease costs and 30% believing it will increase revenue. Nearly half of executives are exploring new business opportunities made possible by the technology (47%).” Surveys were conducted in English via the Forsta  survey platform.

For more details regarding survey findings,  Click here  to view the Executive Summary (an overview),  Findings (Full Survey Results), an Appendix, and a discussion of the methodology.

 

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Presiding Justice Hector D. LaSalle and the Justices of the Appellate Division, Second Department on January 11, 2024, announced the creation of a Task Force to study

the interplay of artificial intelligence and the courts of the Appellate Division, Second Department. The Task Force will meet with experts in the field of artificial intelligence

and propose recommendations on how the Appellate Division, Second Department and the trial courts within its jurisdiction may best utilize reliable artificial intelligence

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The Federal Trade Commission announced today, January 25, that it issued orders to five companies requiring them to provide information regarding recent investments and partnerships involving generative AI companies and major cloud service providers.

The agency’s 6(b) inquiry will scrutinize corporate partnerships and investments with AI providers to build a better internal understanding of these relationships and their impact on the competitive landscape.  The compulsory orders were sent to Alphabet, Inc., Amazon.com, Inc., Anthropic PBC, Microsoft Corp., and OpenAI, Inc.

According to Sage Lazzaro writing in Eye on AI, “The agency is investigating three multi-billion dollar deals that have shaped the AI landscape as we know it: Microsoft and OpenAI, Google and Anthropic, and Amazon and Anthropic. The FTC issued orders to all of the involved companies, seeking specifics about their agreements, the practical implications of these partnerships, analysis of the transactions’ competitive impact, competition for AI inputs and resources, and more information. This investigation could have major ramifications for these companies and the AI and technology landscape.”

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The year 2024 promises to be a pivotal year for Artificial Intelligence (AI), with advancements across various sectors and a growing focus on real-world applications. Here are some predictions taken from various sources including my own expressing a variety of opinions as to what we can expect in the near future. The predictions are grouped into six broad categories: Widespread Integration, Generative AI, Practical Applications and Explanability, Health Care, Legal and Ethical Considerations, and Emerging Trends, followed by a list of references to materials discussing various aspects of the topic. For those who may be less familiar with AI, I have also included under References a citation to a posting by Bill Gates that can be read as a general introduction.

  1. Widespread Integration of AI:
  • AI will become increasingly ubiquitous, seamlessly integrated into homes, businesses, and everyday activities. This could range from personalized AI assistants to smart homes that anticipate your needs.
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