Responsible AI

  1. DataAI GenericOG
    Article
    Responsible AI

    Our approach to trustworthy AI: Using frameworks to manage risk and accelerate development

    By using tools like risk management frameworks, we identify and address AI risks early, saving time and cost while ensuring our clients’ AI solutions are built on a foundation of trust and reliability.

  2. DataAI GenericOG
    Article
    Responsible AI

    Developing input filters for chatbot security: How traditional machine learning shows the need for diverse training data

    Our research into chatbot performance using traditional ML shows how input filters increasingly need tailored training data to identify security risks.

  3. DataAI GenericOG
    Responsible AI

    Identifying compound adversarial attacks with unsupervised learning

    This case study shows how compound adversarial attacks can be identified using unsupervised learning to overcome limited training data.

    Article
  4. DataAI GenericOG
    Article
    Responsible AI

    How to define system prompt exfiltration attacks in LLM-based applications

    System prompt exfiltration is among the most alarming of LLM attacks. We propose a definition to make prompt exfiltration attacks easier to identify.

  5. DataAI GenericOG
    Article
    Responsible AI

    AI blue teaming to protect against jailbreaks: LLM-generated guardrails for chatbot input filtering

    Input filters are a blue teaming operation and essential to building safe, secure LLMs.

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    Article
    Responsible AI

    From benchmarks to red teaming: Ensuring robust and responsible AI

    Learn how to adopt a mindset of continuous evaluation in generative AI, exploring popular benchmarks and AI red teaming methods.

  7. DataAI GenericOG
    Article
    Responsible AI

    Next-level AI red reaming: How to automatically categorize LLM attack methods using named entity recognition (NER)

    Learn how to automate the evaluation and categorization of LLM attack methods so your AI red team ensures good test coverage and finds vulnerabilities.

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    Responsible AI

    How to build responsible AI practices into your organization

    As GenAI implementations become more prominent, it's critical to adhere to responsible AI practices to protect your brand and foster customer trust.

    Article
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    Article
    Responsible AI

    How to design trustworthy AI products for healthcare: Five design principles

    Learn how these five artificial intelligence design techniques build trust in highly regulated industries like healthcare.

  10. DataAI GenericOG
    Article
    Responsible AI

    Detecting AI hallucination risk using a CIA technique

    A CIA technique called a canary trap helps us detect AI hallucination risk in large language models (LLMs) enhanced with retrieval augmented generation (RAG).

  11. DataAI GenericOG
    Article
    Responsible AIFinancial Services & Fintech

    Partial intent classification: How we made a safe conversational AI assistant for a financial services firm

    Intent classification used in concert with a large language model (LLM) and retrieval-augmented generation (RAG) system resulted in a safer financial chatbot.

  12. DataAI GenericOG
    Article
    Responsible AI

    Three ways to prevent AI hallucinations

    Boost AI reliability by preventing AI hallucinations with WillowTree's three-pronged approach to minimize and mitigate incorrect information produced by LLMs.

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