Greetings Thinkers,
This week’s Leadership CONNECT:
- Spark of the week: AI > Human+AI: The Challenge
- Technology: MedLM (Source: Google)
- Case: Swedish Composer Becomes Spotify’s Most-Famous Musician You’ve Never Heard of (Source: The Guardian)
- Article: Business Can Get Value From GEN AI Now (Source: WSJ)
- MindLi: The Adoption of ChatGPT in High-Skilled Professions (Source: Chicago University)
Happy Thinking,
Dr. Yesha Sivan and the MindLi Team
P.S. Comments, ideas, feedback? Send me an e-mail.
1. AI > Human+AI: The Challenge
Background:
My work in the last 10 years has focused on human thinking in the age of AI. Initially, I called it “distributed intelligence,” which means discussing human and machine thinking together.
However, there is one big hurdle to human-machine thinking—humans, as depicted so clearly in this research published on October 28, 2024, in JAMA (Journal of the American Medical Association).
The settings of the research are depicted visually here:
Key results:
Fifty physicians (26 attendings, 24 residents; median years in practice, 3) participated virtually and at 1 in-person site. The median diagnostic reasoning score per case was 76% for the LLM group and 74% for the conventional resources-only group.
Comparing LLM alone with the control group found an absolute score difference of 16 percentage points favoring the LLM alone %90.
So bottom line: Just Doctors (74%); Doctors+AI (76%), AI Alone (%90).
(Note: the complete research also reports saving time in the doctors+AI group, but this is beyond the scope of this spark.)
Conclusion: The Human Factor
Allie Miller, who reported this research, suggests the following:
- Overconfidence: Doctors often ignore ChatGPT’s correct diagnoses if they conflict with their own. How can we get AI to explain the why and influence better without manipulating?
- Underuse: Doctors are undertrained in AI and treat it like fancy Google (rather than copying and pasting the whole patient history in and “talking” to the data).
The more significant lesson is that driving a car is much different than riding a horse; the rules, agreements, and skills (and even licenses) are much different. By analogy, the AI’s rules, methods, and attributes must be developed to gain its full value..
See more:
2. Technology: MedLM (Source: Google)
MedLM is a family of foundation models fine-tuned for the healthcare industry.
Med-PaLM 2 is one of the text-based models developed by Google Research that powers MedLM and was the first AI system to reach the human expert level on answering US Medical Licensing Examination (USMLE)-)-style questions. The development of these models has been informed by specific customer needs such as answering medical questions and drafting summaries.
3. Case: Swedish Composer Becomes Spotify’s Most-Famous Musician You’ve Never Heard of (Source: The Guardian)
10-APR-2024
Appropo humans and AI: Johan Röhr has become a streaming powerhouse, with 2,700 songs totaling 15 billion plays across platforms, surpassing icons like Britney Spears and ABBA. Known for his prolific output and captivating melodies, Röhr’s diverse catalog continues to dominate digital airwaves, highlighting the rising influence of independent artists in the music industry.
4. Article: Business Can Get Value From GEN AI Now (Source: WSJ)
22-NOV-2024
Erik Brynjolfsson and James Milin from Workhelix highlight that businesses can gain value by identifying tasks that artificial intelligence can perform more efficiently. By focusing on areas where AI exceeds human speed and accuracy, companies can streamline operations and boost productivity. This approach enhances efficiency and allows employees to focus on more creative work.
5. MindLi: The Adoption of ChatGPT in High-Skilled Professions (Source: Chicago University)
24-APR-2024
Recent research from UChicago economists indicates that the AI chatbot ChatGPT is effective in various investment-related tasks and is expected to disrupt numerous high-skilled professions.
The study examines the adoption of ChatGPT among 100,000 workers across 11 occupations, revealing that half have used the tool, with usage rates varying significantly by occupation.
A notable gender gap exists, with women being less likely to adopt ChatGPT than men. While many workers recognize the productivity potential of ChatGPT, barriers to adoption remain, particularly for women.
The research combines survey data with administrative labor market information to analyze these trends.
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