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World Congress 2024 • Aug 20, 2024 • Session details

AI is dead, long live AK

Zachary Powell

Stop calling it Artificial Intelligence. Today's models merely process Artificial Knowledge. Discover why redefining AI protects your brand from hallucinations and unlocks genuine engineering value.

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#1 about 4 min

Defining artificial intelligence through the lens of fiction

Fictional portrayals build public expectations of machines that learn, reason, show emotion, and achieve self-awareness.

#2 about 3 min

Contrasting narrow artificial intelligence with fictional expectations

Real-world narrow artificial intelligence processes existing data sets instead of generating true thoughts or emotional understanding.

#3 about 1 min

Redefining modern tools as artificial knowledge rather than intelligence

Current machine models process and manipulate knowledge but lack the encompassing traits required for true intelligence.

#4 about 5 min

Evaluating large language models on physical creativity tasks

Asking generative text models to produce novel crochet patterns reveals a fundamental inability to creatively assemble logical physical components.

#5 about 2 min

Observing physical logic failures in generated video content

Generative video models fail to apply real-world physics or contextual intelligence when rendering human movements.

#6 about 2 min

Addressing the risks of hallucination and chat model manipulation

Relying on text generation tools introduces errors when models confidently fabricate historical facts or succumb to prompt manipulation.

#7 about 4 min

Practical use cases for applied artificial knowledge tools

Treating machine learning as a knowledge tool enables effective automation for boilerplate code, voice transcription, and preliminary medical diagnostics.

#8 about 2 min

Ethical implications of misrepresenting machine learning as intelligence

Labeling software as intelligent creates false public trust and dilutes corporate accountability for model behaviors and errors.

#9 about 3 min

Rebranding artificial intelligence to manage proper user expectations

Shifting industry terminology toward artificial knowledge sets realistic boundaries around what current machine models can actually perform.

Matching moments

1:34 min

Mitigating the inherent challenges of generative AI tools

Mary Grygleski Mary Grygleski · LIVE

3:38 min

Learning from real-world artificial intelligence failures

Seppe Housen Seppe Housen · Europe 2026 Virtual

3:39 min

Framing artificial intelligence as a creative digital muse

Bryan Cassady Bryan Cassady · Europe 2026 Virtual

9:39 min

Predicting the future intersection of artificial intelligence and accessibility

Léonie Watson Léonie Watson +4 · A11y + AI

2:44 min

Shifting perspectives from artificial to automated intelligence

Perf + AI

4:11 min

Identifying technical limitations and AI logical inconsistencies

Jakov Semenski · LIVE

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