a reality or perception that something is not from nature, fake, or a lie.
Examples are, non-live points-in-time that were not personally experienced or created providing no proof of validity. Even if personally experienced, it is sometimes difficult to determine if live is fake (a lie).
applying (software or human) decision-making capabilities based upon experiences (observed or acquired data) coming to your conclusion or direction that one can follow or ignore.
So yes, we all use our own Ai everyday.
when you rely on another person's opinion or take responsibility for your actions based upon what you think is fact. Do your homework!
Aim for a 100% accuracy rate, but acknowledge that achieving 100% completion is not an absolute guarantee.
/\| software pulls data [your website chatbot connecting to your historical databases] to have analytics performed for a future-time (immediate or futurecast) to define output(s) with varying percentages of reliability that aligns to your ask based upon how you ask it and how the Ai-code is written. Creating a place for business people to better understand how technology drives business outcomes faster than ever.
/\| is the broader concept of intelligent machines, and ML is a key method for achieving that intelligence. Data+Storage+Servers with CPU/CPU/QPUs pulling from a what is or perceived as intelligence based upon the request, also called a prompt. Manufacturing and software companies have been using ML
This is always a work-in-process and open to YOUR FEEDBACK.
[AiG] Artificial Intelligence Governance
are frameworks, policies, and processes that ensure AI systems are developed and used ethically, responsibly, and legally. It encompasses various aspects, including safety, fairness, transparency, accountability, and compliance with relevant regulations and ethical guidelines.
Conversational AI examples include virtual assistants like Siri and Google Assistant, chatbots for customer support, and even smart home devices that respond to voice commands. These AI systems use natural language processing and machine learning to understand and respond to user queries in a natural, conversational way.
Hypothetical stage of artificial intelligence (AI) where a machine possesses the ability to perform any intellectual task that a human being can. It aims to replicate human-level cognitive abilities, including learning, reasoning, and problem-solving.
Theoretical, software-based system with intelligence far surpassing human capabilities across all domains. It's a hypothetical stage of AI development where machines achieve technological singularity and surpass human intelligence in all aspects.