Measurement Issues in the Uncanny Valley: The Interaction between Artificial Intelligence and Data Analytics

2020 ◽  
pp. 53-64
Author(s):  
Douglas A. Samuelson
Keyword(s):  
Artificial Intelligence ◽  
Data Analytics ◽  
Uncanny Valley ◽  
Measurement Issues ◽  
The Uncanny

Trading faces: Complete AI face doubles avoid the uncanny valley

2020 ◽  
Author(s):  
Christopher Welker ◽  
David France ◽  
Alice Henty ◽  
Thalia Wheatley
Keyword(s):  
Artificial Intelligence ◽  
Sexual Orientation ◽  
Uncanny Valley ◽  
Torture Survivors ◽  
The Uncanny ◽  
The Creation ◽  
Full Face ◽  
The Impact

Advances in artificial intelligence (AI) enable the creation of videos in which a person appears to say or do things they did not. The impact of these so-called “deepfakes” hinges on their perceived realness. Here we tested different versions of deepfake faces for Welcome to Chechnya, a documentary that used face swaps to protect the privacy of Chechen torture survivors who were persecuted because of their sexual orientation. AI face swaps that replace an entire face with another were perceived as more human-like and less unsettling compared to partial face swaps that left the survivors’ original eyes unaltered. The full-face swap was deemed the least unsettling even in comparison to the original (unaltered) face. When rendered in full, AI face swaps can appear human and avoid aversive responses in the viewer associated with the uncanny valley.

Ghost Stories from the Uncanny Valley

2019 ◽  
pp. 117-132
Author(s):  
Tok Thompson
Keyword(s):  
Artificial Intelligence ◽  
Uncanny Valley ◽  
Ghost Stories ◽  
New Era ◽  
The Uncanny ◽  
Starting Point ◽  
History Of ◽  
Andrew Lang

This chapter proposes that we will soon find ourselves haunted by the ghosts of androids. Although ghost stories have been centrally studied throughout the history of the discipline of Folklore (perhaps most notably during the time of Andrew Lang in the British Folklore society), it appears we are quickly approaching a new era in ghosts: the ghosts of artificial intelligence. This chapter takes as its starting point the proposition of android ghosts, exploring the implications and possibilities emanating from this discussion. What sorts of ghosts will androids make?

Talking to Machines: Simulated Dialogue and the Problem with Turing in Jordan Harrison’s Marjorie Prime

2021 ◽  
Vol 9 (1) ◽  
pp. 81-94
Author(s):  
Maria Verena Peters
Keyword(s):  
Artificial Intelligence ◽  
Disability Studies ◽  
Traditional Approach ◽  
Turing Test ◽  
Uncanny Valley ◽  
Pulitzer Prize ◽  
The Uncanny ◽  
Philosophical Questions

Abstract Jordan Harrison’s play Marjorie Prime (Center Theatre Group, LA, 2014), a Pulitzer Prize finalist in 2015, depicts social, medical, and therapeutic interactions between humans and machines. In contrast to other contemporary plays, Harrison’s script does not suggest experimenting with real robots on stage, but follows the traditional approach of having actors pretend that they are machines or, more specifically, projections steered by an artificial intelligence, so-called Primes. The play carefully avoids the “uncanny valley” (Mori) and spares the audience visceral reactions to the machines, instead focusing on philosophical questions about identity, memory, language, and humanness. The article will analyse the use of language as a theatrical code for machineness and explore the implications of language as a criterion for machineness and humanness respectively. Marjorie Prime will be contextualized with the Turing test, especially from the angle of disability studies, to show how the play can be read as a critique of humanism and a plea for posthumanism.

The Uncanny Valley

2014 ◽  
Author(s):  
Jessy Rose Goodman
Keyword(s):  
Uncanny Valley ◽  
The Uncanny

Computing Possible Futures

2019 ◽  
Author(s):  
William B. Rouse
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Computational Modeling ◽  
Mental Model ◽  
Data Analytics ◽  
Computational Models ◽  
Senior Managers ◽  
Interactive Visualizations ◽  
Use Of Models ◽  
Better Than

This book discusses the use of models and interactive visualizations to explore designs of systems and policies in determining whether such designs would be effective. Executives and senior managers are very interested in what “data analytics” can do for them and, quite recently, what the prospects are for artificial intelligence and machine learning. They want to understand and then invest wisely. They are reasonably skeptical, having experienced overselling and under-delivery. They ask about reasonable and realistic expectations. Their concern is with the futurity of decisions they are currently entertaining. They cannot fully address this concern empirically. Thus, they need some way to make predictions. The problem is that one rarely can predict exactly what will happen, only what might happen. To overcome this limitation, executives can be provided predictions of possible futures and the conditions under which each scenario is likely to emerge. Models can help them to understand these possible futures. Most executives find such candor refreshing, perhaps even liberating. Their job becomes one of imagining and designing a portfolio of possible futures, assisted by interactive computational models. Understanding and managing uncertainty is central to their job. Indeed, doing this better than competitors is a hallmark of success. This book is intended to help them understand what fundamentally needs to be done, why it needs to be done, and how to do it. The hope is that readers will discuss this book and develop a “shared mental model” of computational modeling in the process, which will greatly enhance their chances of success.

Data analytics and artificial intelligence to predict length of stay, readmission and mortality after colorectal cancer surgery

2021 ◽  
Vol 47 (2) ◽  
pp. e5
Author(s):  
Shamsul Masum ◽  
Adrian Hopgood ◽  
Samuel Stefan ◽  
Karen Flashman ◽  
Jim S. Khan
Keyword(s):  
Artificial Intelligence ◽  
Colorectal Cancer ◽  
Length Of Stay ◽  
Data Analytics ◽  
Cancer Surgery ◽  
Colorectal Cancer Surgery

Eliza in the uncanny valley: anthropomorphizing consumer robots increases their perceived warmth but decreases liking

2019 ◽  
Vol 30 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Seo Young Kim ◽  
Bernd H. Schmitt ◽  
Nadia M. Thalmann
Keyword(s):  
Uncanny Valley ◽  
The Uncanny
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