Newest Этика ИИ Solutions for 2024

Explore cutting-edge Этика ИИ tools launched in 2024. Perfect for staying ahead in your field.

Этика ИИ

  • Defined.ai offers a leading marketplace for AI training data, tools, and models.
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    What is Defined.ai?
    Defined.ai stands as the world's foremost AI training data marketplace. It enables AI professionals to seamlessly buy, sell, or commission off-the-shelf and customized high-quality datasets, tools, and models. The platform aims to support the entire AI development lifecycle, from data collection to model deployment, facilitating faster and more accurate outcomes. With a wide range of datasets spanning various domains and languages, Defined.ai ensures that AI practitioners have the resources they need for effective and ethical AI development.
  • Learn the basics of AI with free online courses.
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    What is elementsofai.de?
    The Elements of AI is a series of free online courses intended for individuals interested in understanding the fundamentals of artificial intelligence. The course covers essential topics like machine learning, neural networks, and ethical considerations of AI. Through easy-to-follow modules, learners explore what AI is, its applications, and how it impacts various sectors of society. The courses are suitable for everyone, with no prior programming or advanced math knowledge required, allowing anyone to grasp the concepts and principles of AI.
  • Ethical and social impact assessments.
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    What is eticasconsulting.com?
    Eticas Consulting offers services focused on auditing algorithms and AI systems to ensure they are ethical, unbiased, and compliant with social standards. Their multidiscriminatory team works on the ethical, legal, and social impacts of data-intensive technologies, providing solutions that boost safety, transparency, and fairness in AI applications.
  • Fiddler AI provides AI Observability solutions to enhance model performance and compliance.
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    What is Fiddler AI?
    Fiddler AI empowers organizations with advanced AI Observability capabilities, enabling users to track model performance, troubleshoot issues, and ensure compliance with ethical guidelines. The platform offers insights into model behavior through visualizations and reporting, fostering trust and transparency. Its proactive monitoring features enable users to detect data drift and bias, ensuring models remain reliable and effective.
  • GOODY-2 is the world's most responsible AI model, built with next-gen adherence to ethical principles.
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    What is GOODY-2?
    GOODY-2 is an innovative AI model meticulously crafted to adhere to the highest ethical standards, ensuring maximum safety and responsibility in AI interactions. Unlike other AI models, GOODY-2 evaluates every question through a lens of potential harm, delivering safe and evasive responses. This design makes it ideal for industries and users who prioritize ethical AI interactions. Its commitment to ethical principles makes it a dependable choice for maintaining responsible conversations without risking brand reputation.
  • Khanmigo is an AI-powered personal tutor from Khan Academy.
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    What is khanmigo.ai?
    Khanmigo, a revolutionary AI-powered tutor by Khan Academy, provides personalized, on-topic, and effective learning for students. It ensures safety and ethical usage while integrating seamlessly with Khan Academy's extensive content library. Unlike other AI tools, Khanmigo fosters interactive learning rather than giving direct answers.
  • Framework to align large language model outputs with an organization's culture and values using customizable guidelines.
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    What is LLM-Culture?
    LLM-Culture provides a structured approach to embed organizational culture into large language model interactions. You start by defining your brand’s values and style rules in a simple configuration file. The framework then offers a library of prompt templates designed to enforce these guidelines. After generating outputs, the built-in evaluation toolkit measures alignment against your cultural criteria and highlights any inconsistencies. Finally, you deploy the framework alongside your LLM pipeline—whether via API or on-premise—so that each response consistently adheres to your company’s tone, ethics, and brand personality.
  • Empower your AI initiatives with responsible practices.
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    What is responsible.ai?
    Responsible AI focuses on promoting ethical practices in artificial intelligence development and deployment. As a global non-profit organization, it provides organizations and AI professionals with assessments, certifications, and community engagement to create safe and responsible AI systems. The initiative emphasizes transparency, accountability, and alignment with ethical standards, enabling users to navigate the complexities of AI governance and manage associated risks effectively while fostering innovation.
  • An open-source AI agent combining Mistral-7B with Delphi for interactive moral and ethical question answering.
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    What is DelphiMistralAI?
    DelphiMistralAI is an open-source Python toolkit that integrates the powerful Mistral-7B LLM with the Delphi moral reasoning model. It offers both a command-line interface and a RESTful API for delivering reasoned ethical judgments on user-supplied scenarios. Users can deploy the agent locally, customize judgment criteria, and inspect generated rationales for each moral decision. This tool aims to accelerate AI ethics research, educational demonstrations, and safe, explainable decision support systems.
  • The Frontier Model Forum aims to advance AI safety and promote responsible development of frontier AI models.
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    What is frontiermodelforum.org?
    The Frontier Model Forum is a collaborative industry body formed by leading technology companies such as Microsoft, Anthropic, Google, and OpenAI. The Forum is committed to advancing AI safety research, promoting the responsible development of frontier models, and minimizing potential risks associated with AI technologies. By drawing on the expertise of its members, the Forum aims to contribute to the public good by sharing best practices and developing a public library of AI safety resources.
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