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.
AEI – Artificial Emotional Intelligence
AI designed to recognize, interpret, simulate, or respond to human emotions. Sentiment analysis in customer service bots, Virtual companions that adapt to mood.
also Affective AI
[AGi] Artificial General Intelligence
Also called Strong AI or Human-Level AI. A system with general cognitive abilities comparable to humans. Can learn, reason, adapt, and apply intelligence across a wide range of domains without being retrained for each new task. Think of it as an AI that could pass a Turing Test under any conditions.
[ANI+] Emergent Intelligence
Advanced narrow systems that, through scale and complexity, start displaying generalization or reasoning beyond their training.
Current models edging toward this
[ASi] Artificial Super Intelligence
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. Or referred to Artificial Specialized Intelligence
Autonomous Artificial
Intelligence
Refers more to capability level (self-operating agents) rather than a tier of intelligence
[ANI] Artificial Narrow Intelligence
also known as weak AI. Specialized AI that can perform a single task or narrow range of tasks very well. ChatGPT, Siri, Alexa, Image recognition systems, Recommendation engines aisbfquwbcpqbcqpuwbcqpwubcqwubcqwobcwbcqowcqwcqwobcqwbcqwbqwbqwqoucbqowubcqbqwqobqoo
AXI – The neXt iteration
to come
AI ... TBD