5 Prerequisites to Consider While Building Trustworthy AI - PowerPoint PPT Presentation

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5 Prerequisites to Consider While Building Trustworthy AI

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Artificial intelligence (AI) is advancing at a breakneck pace, and it is swiftly emerging as a potential disruptor and vital enabler for almost every business in every sector. – PowerPoint PPT presentation

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Title: 5 Prerequisites to Consider While Building Trustworthy AI


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5 Prerequisites to Consider While Building
Trustworthy AI
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5 Prerequisites to Consider While Building
Trustworthy AI
  • Artificial intelligence (AI) is advancing at a
    breakneck pace, and it is swiftly emerging as a
    potential disruptor and vital enabler for almost
    every business in every sector. At this point,
    the technology itself is not a barrier to the
    mainstream use of AI rather, it a collection of
    challenges that, unfortunately, are far more
    human, such as ethics, governance, and human
    values, are.
  • The challenges that come with the increased use
    of AI are expected to grow, with potentially
    major repercussions for society as a whole and
    even worse repercussions for the organizations
    using it. Organizations must develop effective
    methods for identifying and managing AI-related
    issues. Organizations need to formulate an AI
    strategy that is accepted and spoken from the
    mailroom to the boardroom to realize the promise
    of human and machine partnership.
  • Need to build a trustworthy AI framework
  • By establishing an ethical framework,
    organizations must provide all of their internal
    and external stakeholders with a uniform language
    to express trust and assure data integrity.
  • At every level of the AI lifecycle, the
    trustworthy AI framework is intended to help an
    organization in identifying and minimizing
    possible risks connected to AI.

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5 Prerequisites to Consider While Building
Trustworthy AI
  • Building confidence in AI decisions
  • Organizations using AI systems must be aware of
    the decision-making models need to keep end
    users updated on every step and offer relevant
    explanations as needed as the use of AI systems
    accelerates. In models of decision-making based
    on AI, context and time are crucial. Maintaining
    openness and conveying explanations, ambiguity,
    and bias to users in a human-perceivable manner
    with domain context are the greatest ways to
    increase user confidence in AI choices.
  •  
  • When bringing AI models into production, an
    organization must first establish trust and
    confidence. A company may adopt a responsible
    approach to AI development with the help of
    Explainable AI or XAI. Read this white paper to
    know how achieving human trust is made possible
    by explainable AI, which offers methods and
    strategies for producing explanations regarding
    the AI in use and the judgments it makes.
  •  
  • Interesting Want to Know More https//bit.ly/3NOs
    kTL

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