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  • Updates to the OECD’s definition of an AI system explained
    An AI system is a machine-based system that can, for a given set of human-defined explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as makes predictions, content, recommendations, or decisions that can influenceing physical real or virtual environments
  • Why Is Controlling the Output of Generative AI Systems Important . . .
    Controlling generative AI outputs is essential to ensure ethical, safe, and responsible use, minimizing risks such as misinformation, bias, and harmful content Implementing measures like pre- and post-training adjustments, content filtering, and human oversight helps maintain AI output accuracy, transparency, and relevance
  • Accuracy of training data and model outputs | ICO
    We provided a list of possible measures, including labelling the outputs as generated by AI (or not factually accurate) and providing information about the output’s reliability, for example by using confidence scores
  • Is the output of the generative AI system protected by intellectual . . .
    Where the Output of the generative AI system is not capable of protection by intellectual property rights (or it is not yet clear whether it can be), as is the case in some jurisdictions (see table below), Deployers and Users should take care of how the Output is used – in effect, any text, image or other work that is generated in this way and u
  • Key clauses to craft a strong AI Addendum | Pincites Blog
    Pro-Customer Clause: All data provided by Customer to Vendor (“Customer Data”) and all outputs generated by the AI system based on Customer Data (“Output Data”) are Customer’s Confidential Information
  • A. Overview of General-Purpose AI Models and Systems
    Providers of AI systems, including general-purpose AI systems, that generate synthetic content must ensure the outputs are marked in a machine-readable format as artificially generated or manipulated Technical solutions for these markings should be effective, interoperable, robust, and reliable, considering technical feasibility and costs 7
  • Using AI outputs | Generative AI
    There are several restrictions on how you may use the outputs from an AI system You should not publicise AI outputs: without clearly describing their AI origin, together with the relevant data management, bias and validation methodologies
  • Generative AI: is its output protectable by intellectual property . . .
    Generative artificial intelligence (AI) is able to create content in response to an input prompt This may involve generating answers in text form in response to a question, or an image or piece of video in response to a text prompt





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