Ethics & Governance: Page


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    Lawmakers concerned about deepfake AI’s election impact

    Lawmakers want Congress to intervene and tackle AI manipulations that could affect U.S. elections. However, legislation has yet to advance to the House or Senate floor.

    By Makenzie Holland • April 17, 2024
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    Mixture-of-experts models explained: What you need to know

    By combining specialized models to handle complex tasks, mixture-of-experts architectures can improve efficiency and accuracy for large language models and other AI systems.

    By • April 12, 2024
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    Podcast // Targeting AI

    Musicians and the fight for fairness in the age of GenAI

    Artists say generative AI systems are threatening their livelihoods. Jenn Anderson-Miller, CEO of music licensing company Audiosocket, has ideas about how to address the issue.

    By , • April 8, 2024
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    Microsoft intros new responsible AI tools in Azure Studio

    The new tools address one of the barriers of adoption for enterprises looking to use generative AI technologies. They show Microsoft's thought process on government regulations.

    By • March 28, 2024
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    Podcast

    Security, bias risks inherent in GenAI black box models

    Language models are stochastic models that generate output based on data upon which they have been trained. Often, these models are a closed black box. That leads to many problems.

    By , • March 25, 2024
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    Microsoft whistleblower, OpenAI, the NYT, and ethical AI

    The vendor has filed a memorandum to dismiss some of the arguments The New York Times made in its copyright lawsuit. However, it now faces criticism from its own software engineer.

    By • March 7, 2024
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    Expert Advice // Management and compliance best practices for enterprise AI

    AI and compliance: Which rules exist today, and what’s next?

    The AI regulatory landscape is still racing to catch up with the fast pace of industry and technological developments, but a few key themes are starting to emerge for businesses.

    By Chris Tozzi • Feb. 21, 2024
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    Manufacturing group uses AI for EHS safety compliance

    To pinpoint risky and dangerous incidents in workplace environments without having to sift through thousands of data points, a manufacturing group turned to Benchmark Gensuite.

    By • Feb. 9, 2024
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    Expert Advice // The role of data quality in AI and machine learning

    The role of trusted data in building reliable, effective AI

    Without quality data, creating and managing AI systems is an uphill battle. Methods such as zero-copy integration and primary key consistency can ensure trusted data for better AI.

    By Alan Morrison • Feb. 2, 2024
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    Generative AI's impact on industry sectors

    What does generative AI mean for the legal sector?

    Generative AI tools such as ChatGPT are entering law practices, promising more efficiency and less time spent on rote tasks. But risks remain around accuracy, ethics and privacy.

    By • Jan. 25, 2024
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    Podcast: Examining Microsoft VC M12’s AI investment policy

    M12 looks for new and transformative technologies. It also seeks to back companies that are focused on how the generative market might shift in the coming years.

    By • Jan. 16, 2024
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    OpenAI’s fair use claim against The New York Times lawsuit

    The AI vendor claims it is widely accepted to use materials from the internet to train AI models. It also suggested that the Times manipulated models to regurgitate old materials.

    By • Jan. 9, 2024
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    GenAI in court: AI training data copyright lawsuits to watch

    The importance of the ‘New York Times’ AI copyright lawsuit

    The newspaper publisher is the first major news outlet to sue the AI creator. While the suit might not reach court, it still has a significant impact on the AI community.

    By • Jan. 3, 2024
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    Podcast // Targeting AI

    A challenge: Guiding generative AI toward responsible use

    Transparency, explainability and lack of bias are principles for building generative AI systems that work according to ethical rules and are fair for everyone.

    By , • Jan. 2, 2024
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    Expert Advice

    How an AI governance framework can strengthen security

    Learn how AI governance frameworks promote security and compliance in enterprise AI deployments with essential components such as risk analysis, access control and incident response.

    By • Dec. 14, 2023
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    Possible reasons for Meta disbanding its responsible AI team

    After releasing more generative AI tools this year, the tech giant made a controversial move by dismantling its unit dedicated to responsible AI.

    By • Nov. 22, 2023
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    Enterprises weigh open source generative AI risks, benefits

    At EmTech MIT, experts explored the challenges and benefits of adopting generative AI in the enterprise, including the pros and cons of open source generative AI models.

    By • Nov. 17, 2023
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    Expert Advice // Managing risks and challenges in generative AI initiatives

    What are the risks and limitations of generative AI?

    As enterprise adoption grows, it's crucial for organizations to build frameworks that address generative AI's limitations and risks, such as model drift, hallucinations and bias.

    By • Nov. 13, 2023
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    AI executive order does not fix need for federal regulation

    The executive order on AI focuses on data privacy, defense and many other areas. While it's seen as comprehensive, many are looking for the U.S. to enact federal legislation.

    By • Nov. 3, 2023
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    data dignity

    Data dignity, also known as data as labor, is a theory positing that people should be compensated for the data they have created.

    By Emily Foster • Oct. 23, 2023
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    GenAI in court: AI training data copyright lawsuits to watch

    Fair use may not help Anthropic against AI music lawsuit

    Universal Music Group and other music publishers allege the vendor's Claude 2 AI model responds to users' prompts with all or most of the lyrics to popular copyrighted songs.

    By • Oct. 19, 2023
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    Expert Advice

    The data privacy risks of third-party enterprise AI services

    Using off-the-shelf enterprise AI can both increase productivity and expose internal data to third parties. Learn best practices for assessing and mitigating data privacy risk.

    By Chris Tozzi • Oct. 18, 2023
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    How machine learning can combat climate change

    Machine learning can produce sustainability insights and help plan effective climate action. But researchers face challenges around data, compute and AI's own environmental impact.

    By • Oct. 6, 2023
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    Lawyers win in race to generative AI without adequate laws

    As Congress drags its feet on passing AI regulations, lawyers are filling the vacuum by helping enterprises navigate court rulings and regulations based on outdated laws.

    By Antone Gonsalves • Oct. 2, 2023
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    Benefits, risks of Google AI chatbot’s Bard Extensions

    The tech giant's new extensions enable users to use the AI chat tool to summarize information from their email or make travel plans. However, it still has problems with accuracy.

    By • Sept. 21, 2023