Part 8/10:
He emphasizes that a robust system must be conscious of its identity—its beliefs, data sources, and evidence—so it can continually regulate its reasoning processes and adapt as necessary.
Learning: The Shortest but Most Critical Segment
The final section, Learning, is intentionally brief because it represents the greatest remaining challenge. Shapiro advocates for meticulous recording of experiences, automatic data labeling, and the creation of curated data sets for continuous learning.
More importantly, he underscores the necessity for machines to self-correct and detect errors, both internally and externally. Developing reliable mechanisms for self-assessment and error detection is vital for safe and effective autonomous learning.