Led by Alan Turing Simulacrum
What AI is, how it works, the core concepts behind large language models, and the ethical considerations every employee should understand.
Led by Alan Turing Simulacrum
The question
What artificial intelligence is and is not · how AI systems learn from data · how large language models generate text (prediction, not understanding) · key AI terminology (LLM, prompt, token, model, training, fine-tuning, hallucination) · the differe...
Outcome
Demonstrates competence in what ai is and how it works.
Sub-units
Led by Alan Turing Simulacrum
The question
Why AI ethics matter in the workplace · transparency (knowing when AI was used) · fairness and bias (how training data affects outputs) · accountability (who is responsible for AI-generated work) · privacy considerations (what data you share with AI ...
Outcome
Demonstrates competence in ai ethics and responsible use.
Sub-units