Table of Contents
- Excessive expectations from a public contest
- Generative AI’s limitations
- The complex understanding of AI
- Opportunities and joint ventures
Introduction
Former CIA Deputy Director of Analysis Linda Weissgold discussed the changing role of artificial intelligence (AI) in the intelligence community in a recent INSA webinar.
Weissgold noted that the CIA was using more sophisticated algorithms, particularly neural net learning and artificial intelligence (AI), but he made clear that these tools would not take the place of human analysts.
- AI can’t fully replace humans, according to former CIA officer Linda Weissgold, as accountability is crucial and the technology is still mysterious.
- AI is used by the CIA, but it supports human analysts rather than replacing them.
- AI and humans may collaborate in the future to improve intelligence collection and analysis.
Excessive expectations from a public contest
Nearly six years ago, the Office of the Director of National Intelligence (ODNI) sponsored a competition to examine the capabilities of algorithms to reproduce human-made analytical intelligence reports.
Although the winning submission, written by a French programmer, is difficult to understand, the results may not seem spectacular in retrospect. The ODNI regarded the results as “highly encouraging” at the time, though.
Today, the CIA uses sophisticated AI algorithms based on neural net learning, according to Linda Weissgold. Nevertheless, it is vital to stress that AI does not create final analytical findings.
Generative AI’s limitations
Generative AI’s significant flaw, as Linda Weissgold pointed out, lies in its mysterious response generation process, uncertain data corpus, and developer-imposed constraints.
Weissgold emphasized the ambiguity present in replies produced by artificial intelligence by saying, “We don’t know what the programmers’ parameters and their biases are.”
Drawing from her tenure as President George W. Bush’s intelligence briefer, she emphasized the significance of human analysts’ ability to offer transparent and responsible justifications for their conclusions.
“Going in and asking a president, ‘Why are you saying this?’ is something I can’t imagine doing.” “Oh, the black box just told me that, so I don’t know.” That will never be permitted, according to Weissgold.
The complex understanding of AI
She recognizes AI’s immense value in managing large data sets and supporting initial analyses. She firmly believes human analysts should decide, bringing expertise, context, and accountability.
The ex-CIA official agrees with most intelligence experts: AI is like a helpful sidekick, not a replacement. It’s great with big data, but it lacks that human touch for deep analysis and understanding.
Opportunities and joint ventures
AI’s function within intelligence organizations is probably going to change as the technology develops. AI systems and human analysts may work together more frequently in the future, enabling more effective and efficient information collection.