The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence

The Promise and Peril of Human Evaluation for Model Interpretability

Transparency, user trust, and human comprehension are popular ethical motivations for interpretable machine learning. In support of these goals, researchers evaluate model explanation performance using humans and real world applications. This alone presents a challenge in many areas of artificial intelligence. In this position paper, we propose a distinction between descriptive and persuasive e...

The Promise and Peril of Executive Federalism:

The promise and peril of wireless technologies.

45 There is no denying the fact: Wireless, in all its forms, is hot. We’re deluged with news of how new wireless technologies will change the face of healthcare. They will lower costs, increase quality, make up for the coming shortage of doctors and nurses, connect the most rural of hospitals and clinics, move healthcare to the home, eliminate alarm fatigue ... indeed, the list seems endless. T...

The Turing Test: The Elusive Standard of Artificial Intelligence

Alan Turing begins his 1950 Mind article, “Computing Machinery and Intelligence,” with the following straightforward pronouncement: “I propose to consider the question ‘Can machines think?’ ” He quickly (too quickly?) argues for “replacing” the original question with another “which is closely related to it and is expressed in relatively unambiguous words.” (Please note the vagueness of the clai...

The promise and peril of chemical probes.

About a decade ago, academia substantially increased its efforts in chemical biology and drug discovery. These efforts arose in part because of the availability of large numbers of uncharacterized potential drug targets emerging from genome sequencing efforts, from the development and commoditization of new screening technologies and from the possibility of inventing new medicines. Some of thes...