Ethics & Governance: Page


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    What is Gemma? Google’s open sourced AI model explained

    Gemma is a collection of lightweight open source generative AI models designed mainly for developers and researchers.

    By Dave Raffo, Sean Kerner • March 14, 2025
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    Podcast // Targeting AI

    How the legal profession can benefit from AI technology

    Lawyers can benefit from AI technology in many ways, but they must be careful to double-check briefs and other documents they create with generative AI.

    By , • March 11, 2025
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    XAI’s Grok-3 highlights openness and transparency concerns

    The AI startup's new Grok model has 10 times more compute power than the previous generation. XAI also introduced reasoning capabilities that it says surpass reasoning models.

    By • Feb. 18, 2025
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    Thomson Reuters win not telling of other AI fair use lawsuits

    A judge rules in favor of the media company. However, the decision will likely not significantly affect generative AI lawsuits still waiting for a court ruling.

    By • Feb. 12, 2025
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    Assessing if DeepSeek is safe to use in the enterprise

    The AI vendor has found popularity with its reasoning model. However, based on geopolitical tensions and safety tests, there are questions about whether enterprises should use it.

    By • Feb. 4, 2025
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    Explore the role of AI in the U.S. federal government

    Reported federal AI use cases jumped from 710 in 2023 to 2,133 in 2024. The staggering growth rate could continue to rise under the Trump administration.

    By • Jan. 29, 2025
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    What is cognitive bias?

    Cognitive bias is a systematic thought process caused by the tendency of the human brain to simplify information processing through a filter of personal experience and preferences.

    By Corinne Bernstein, Alexander Gillis, Stephen Bigelow • Jan. 23, 2025
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    What is artificial intelligence (AI) governance?

    Artificial intelligence governance is the legal framework for ensuring AI and machine learning technologies are researched and developed with the goal of helping humanity adopt and use these systems in ethical and responsible ways.

    By Alexander Gillis, Cameron Hashemi-Pour, Nick Barney • Jan. 3, 2025
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    Expert Advice

    How bad is generative AI data leakage and how can you stop it?

    Mismanaged training data, weak models, prompt injection attacks can all lead to data leakage in GenAI, with serious costs for companies. The good news? Risks can be mitigated.

    By Chris Tozzi • Dec. 19, 2024
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    Businesses face uncertainty with U.S. AI regulation in 2025

    An uncertain future for U.S. AI regulation doesn't mean business leaders are backing down from AI governance.

    By Makenzie Holland • Dec. 5, 2024
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    Anthropic’s new standard raises AI privacy, other concerns

    The Model Context Protocol helps developers connect data to assistants. Some have concerns about users' data and whether a single vendor should create such a standard.

    By • Nov. 27, 2024
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    How to detect AI-generated content

    AI- or human-generated? To test their reliability, six popular generative AI detectors were asked to judge three pieces of content. The one they got wrong may surprise you.

    By Ron Karjian • Nov. 21, 2024
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    Podcast // Targeting AI

    AI industry could see regulation rollback under Trump

    AI businesses are expected to enjoy deregulation under the new Republican presidential administration.

    By , • Nov. 7, 2024
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    Privacy and security risks surrounding Microsoft Recall

    Microsoft's Recall feature promises AI-powered convenience, but it raises significant security and privacy concerns that the company must address before a public release.

    By • Nov. 4, 2024
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    A state-by-state guide to AI laws in the U.S.

    In lieu of federal regulation, U.S. states are proposing and enacting AI laws of their own. This up-to-date breakdown by state can help the C-suite keep tabs on developments.

    By Makenzie Holland • Nov. 4, 2024
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    What is responsible AI?

    Responsible AI is an approach to developing and deploying artificial intelligence (AI) from both an ethical and legal point of view. The goal of responsible AI is to use AI in a safe, trustworthy and ethical fashion.

    By Alexander Gillis, Cameron Hashemi-Pour • Oct. 29, 2024
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    Adobe makes generative AI video model safe for enterprises

    The new video model is trained on licensed content, appealing to enterprises that are worried about the security and legal implications of generative AI technology.

    By • Oct. 15, 2024
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    Interpretability vs. explainability in AI and machine learning

    Understanding how AI models make decisions is challenging, but two concepts -- interpretability and explainability -- can shed light on model outputs.

    By , • Oct. 10, 2024
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    Government use of AI by key U.S. military branches

    The Air Force and Army are exploring applications of GenAI including using their own large language models. While some use cases are successful, others are not.

    By • Oct. 9, 2024
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    Expert Advice

    Artificial intelligence vs. human intelligence: Differences explained

    Artificial intelligence is humanlike. There are differences, however, between natural and artificial intelligence. Here are three ways AI and human cognition diverge.

    By • Oct. 7, 2024
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    Navigating responsible and ethical AI practices

    Responsible AI vs. ethical AI: What’s the difference?

    Ethical AI establishes principles for AI development and use, while responsible AI ensures they're implemented in practice. Learn how the two differ and complement each other.

    By Kashyap Kompella • Sept. 27, 2024
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    Microsoft introduces new safety tools for generative AI

    The cloud giant introduced tools that cite sources in Copilot, curb hallucination and protect privacy. They show ways the vendor has learned from previous challenges.

    By • Sept. 25, 2024
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    What is linear regression?

    Linear regression is a statistical technique that identifies the relationship between the mean value of one variable and the corresponding values of one or more other variables.

    By George Lawton, Stephen Bigelow • Sept. 23, 2024
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    Expert Advice

    AI in banking: Benefits, risks, what’s next

    AI technologies bring operational efficiency and customer benefits to banking. Learn how GenAI and other AI tools are transforming financial services and risks to watch out for.

    By Esther Shein • Sept. 18, 2024
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    Explore the benefits and risks of AI in fintech

    Financial technology can benefit greatly from AI tools and strategies. But financial services companies looking to adopt AI need to understand the risks too.

    By • Sept. 13, 2024