AI Is a Lot of Work

Summary

KEY POINTS:

1. AI systems need labeled data for decision-making.
2. Accurate labeling differentiates tasks like cats from dogs.
3. Unbiased data prevents AI biases.
4. Annotators ensure AI trustworthiness.
5. Annotators often face exploitation.

References

• Media Check: The Verge - Media Bias/Fact Check  (HIGH CREDIBILITY)
• Collections | The Runway (airforce.gov.au)
• ADDITIONAL READING RAAF RUNWAY (PME)
• RAAF RUNWAY: RATIONALE, GUIDELINES, LEARNING OUTCOMES, ETC