XAI

Extracted Attributes

• Type

  American public-benefit corporation

• Industry

  Artificial intelligence, Social media, Technology

• Trade Name

  xAI

• Company Type

  Private

• Headquarters

  San Francisco Bay Area, California, United States

• Official Name

  X.AI Corp.

• Key Product/Model

  Grok 4

• Valuation (as of March 2025)

  $80 billion

Timeline

• Founded by Elon Musk. (Source: Web Search Results (Wikipedia))

  2023-03-09

• Acquired sister company X Corp. (developer of the X social media platform) in an all-stock transaction, valuing X at $33 billion. (Source: Web Search Results (Wikipedia))

  2025-03-28

XAI (company)

X.AI Corp., doing business as xAI, is an American public-benefit corporation working in the area of artificial intelligence (AI), social media and technology. It was founded by Elon Musk in March 2023.

Web Search Results

• XAI: Explainable Artificial Intelligence - DARPA

  XAI is one of a handful of current DARPA programs expected to enable “third-wave AI systems”, where machines understand the context and environment in which they operate, and over time build underlying explanatory models that allow them to characterize real world phenomena. [...] The Explainable AI (XAI) program aims to create a suite of machine learning techniques that: Produce more explainable models, while maintaining a high level of learning performance (prediction accuracy); and Enable human users to understand, appropriately trust, and effectively manage the emerging generation of artificially intelligent partners. [...] The XAI program is focused on the development of multiple systems by addressing challenge problems in two areas: (1) machine learning problems to classify events of interest in heterogeneous, multimedia data; and (2) machine learning problems to construct decision policies for an autonomous system to perform a variety of simulated missions. These two challenge problem areas were chosen to represent the intersection of two important machine learning approaches (classification and reinforcement

• [PDF] EXPLAINABLE ARTIFICIAL INTELLIGENCE

  More importantly, individuals may be affected by automated decision-making systems used by governments, the operation or capabilities of which may not be entirely clear or well defined in existing legislation. Explainable Artificial Intelligence (XAI) is the ability of AI systems to provide clear and understandable explanations for their actions and decisions. Its central goal is to make the behaviour of these systems understandable to humans by elucidating the underlying mechanisms of their [...] From the perspective of the EDPS, the concept of XAI embodies the commitment to develop ‘human-centred’ AI. By explaining the “why” behind AI decisions, it enables individuals to participate in the digital landscape in a meaningful way, for example by filing complaints if their rights are violated by AI-driven decisions. XAI empowers individuals with understandable insights into how their personal data is being handled by revealing the rationale behind AI decisions. The transparency provided by [...] It is important to emphasise that the implementation of XAI does not automatically lead to compliance with data protection regulations. However, XAI may be a technical measure that is useful for the controller to demonstrate that data processing activities have been conducted according to data protection principles, having regard to the purpose, nature, context and scope of the data processing activities and the probability of a serious risk to the freedoms and rights of natural persons.

• What is XAI? Elon Musk's Vision for AI and His New Project - Newo.ai

  The rise of artificial intelligence (AI) has ignited discussions about transparency and oversight. XAI stands out as a field within AI dedicated to crafting machine learning (ML) models that humans can comprehend. Its latest iteration empowers AI systems to articulate their decisions, fostering trust and responsibility. This partnership between humans and machines, built on clarity, grows ever more essential as AI integrates into critical domains like healthcare, finance, and self-driving [...] Do you want to explore what XAI is? To put it simply, this is one of Musk's initiatives. It is a branch of AI technologies. XAI makes complex AI systems understandable and transparent to human users. In traditional black-box models, decisions are often opaque. Musk's project prioritizes clarity that enables users to grasp how and why an AI system arrived at specific outcomes. This transparency fosters trust, particularly in healthcare, finance, and autonomous systems. There, high-stakes

• xAI (company) - Wikipedia

  X.AI Corp., doing business asxAI, is an American public-benefit corporation( working in the area of artificial intelligence (AI), social media and technology.( It was founded by Elon Musk in March 2023. History ------- [edit&action=edit&section=1 "Edit section: History")] ### Financial history [edit&action=edit&section=2 "Edit section: Financial history")] [...] In other projects Wikidata item Appearance move to sidebar hide From Wikipedia, the free encyclopedia American artificial intelligence corporation X.AI Corp.Image 4 Trade namexAI Company typePrivate IndustryArtificial intelligence Social media Technology Founded March 9, 2023; 2 years ago(2023-03-09)( FounderElon Musk HeadquartersSan Francisco Bay Area, California , [...] On March 28, 2025, Elon Musk announced that xAI acquired sister company X Corp., the developer of the X (formerly Twitter) social media platform, which was previously acquired by Musk in October 2022. The deal, an all-stock transaction, valued X at $33 billion, with a full valuation of $45 billion when factoring in $12 billion in debt. Meanwhile, xAI itself was valued at $80 billion. Both companies were combined into a single entity called X.AI Holdings Corp.(

• Explainable artificial intelligence - Wikipedia

  One transparency project, the DARPA XAI program, aims to produce "glass box" models that are explainable to a "human-in-the-loop" without greatly sacrificing AI performance. Human users of such a system can understand the AI's cognition (both in real-time and after the fact) and can determine whether to trust the AI.( Other applications of XAI are knowledge extraction from black-box models and model comparisons.( In the context of monitoring systems for ethical and socio-legal compliance, the [...] XAI hopes to help users of AI-powered systems perform more effectively by improving their understanding of how those systems reason.( XAI may be an implementation of the social right to explanation.( Even if there is no such legal right or regulatory requirement, XAI can improve the user experience of a product or service by helping end users trust that the AI is making good decisions.( XAI aims to explain what has been done, what is being done, and what will be done next, and to unveil which [...] As regulators, official bodies, and general users come to depend on AI-based dynamic systems, clearer accountability will be required for automated decision-making processes to ensure trust and transparency. The first global conference exclusively dedicated to this emerging discipline was the 2017 International Joint Conference on Artificial Intelligence: Workshop on Explainable Artificial Intelligence (XAI).( It has evolved over the years, with various workshops organised and co-located to

• Gender

  female

• Instance Of

  Q5

• Occupation

  singer

• Citizenship

  Japan

• Date Of Birth

  1/1/1997