Work

From “Human versus Machine” to “Human with Machine”

Year: 2024

Type: book-chapter

Abstract: This chapter first reviews areas where AI/ML and other automated decision making performs well in hard problems in the health sciences. It also summarizes main results from the literature comparing empirical performance of AI/ML vs humans. The chapter then addresses foundations of human heuristic decision making (and important related biases), and contrasts those with AI/ML biases. Finally the chapter touches upon how hybrid human/machine intelligence can outperform either approach.

Source: Health informatics

DOI: 10.1007/978-3-031-39355-6_11

Authors: Gyorgy Simon, Constantin Aliferis

Institution: University of Minnesota

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W4392404486