Stop calling it AI. It's time to embrace a more accurate term: Artificial Knowledge.
#1about 3 minutes
How science fiction shaped our understanding of AI
Fictional portrayals of AI have created public expectations of thinking, self-aware machines that differ greatly from today's technology.
#2about 2 minutes
Contrasting fictional AI with today's narrow AI
Real-world AI lacks the emotional understanding and self-awareness seen in fiction, functioning more as a narrow tool for specific tasks.
#3about 1 minute
Redefining AI as artificial knowledge
The term "Artificial Knowledge" more accurately describes current technology's ability to learn and reason without true intelligence.
#4about 4 minutes
Testing AI's creativity with generated crochet patterns
AI-generated crochet patterns for a chicken, monster, and frog reveal a lack of genuine creativity and understanding of physical form.
#5about 3 minutes
Examples of AI failing to grasp reality
AI-generated video, factual hallucinations, and chatbot manipulation demonstrate that current models lack common sense and can be confidently wrong.
#6about 3 minutes
Practical and powerful uses for artificial knowledge
Despite its limitations, AI is a powerful tool for specific tasks like generating boilerplate code, voice transcription, and medical diagnosis.
#7about 2 minutes
The ethical risks of calling knowledge intelligence
Labeling AI as "intelligent" creates misplaced public trust and allows companies to evade accountability for model outputs.
#8about 3 minutes
A call to embrace the term artificial knowledge
The speaker concludes by urging the audience to adopt the more accurate term "Artificial Knowledge" to better frame the technology's capabilities and limitations.
Related jobs
Jobs that call for the skills explored in this talk.
Stephan Gillich - Bringing AI EverywhereIn the ever-evolving world of technology, AI continues to be the frontier for innovation and transformation. Stephan Gillich, from the AI Center of Excellence at Intel, dove into the subject in a recent session titled "Bringing AI Everywhere," sheddi...
Daniel Cranney
Panel Discussion: Responsible AI in Practice - Real-World Examples and ChallengesIntroductionIn the ever-evolving landscape of artificial intelligence, the concept of "responsible AI" has emerged as a cornerstone for ethical and practical AI implementation. During the WWC24 Panel discussion, three eminent experts—Mina, Bjorn Brin...
Chris Heilmann
Exploring AI: Opportunities and Risks for DevelopersIn today's rapidly evolving tech landscape, the integration of Artificial Intelligence (AI) in development presents both exciting opportunities and notable risks. This dynamic was the focus of a recent panel discussion featuring industry experts Kent...
Daniel Cranney
Why AI is Always Better When a Human is Using ItArtificial intelligence is truly amazing… but it’s not amazing at everything.That’s a fair assessment, right? AI has captured the attention of the tech industry and mainstream culture over the last few years. It undeniably has fantastic potential, bu...
From learning to earning
Jobs that call for the skills explored in this talk.