Ethics of artificial intelligence: moral responsibility of self-driving cars and sex robots

Özmen, M. Cem
This thesis analyzes the ethical impacts of the Artificial Intelligence (AI) applications. AI applications are used in many areas to make daily life more comfortable and efficient. They are used for cleaning houses, taking care of old or sick people, working at dangerous jobs replacing human beings, giving medical advisory, preventing fraudulent situations in finance, etc. Similarly, the usage of sex robots, self-driving cars, translation tools, image and emotion recognition applications, etc. are expected to increase in the near future. Even today, many of AI applications have commenced to be used widely in social and business life. Rapid development of AI technologies, especially after the World War II, led to many social and ethical risks and problems for the world. Any analysis of these challenges needs a philosophical basis for a sound development of these applications and their reliable use in society. In this thesis, the ethical impacts of the Artificial Intelligence applications are investigated by focusing on two specific AI applications: self-driving cars and sex robots. These two AI applications are also analyzed from the perspective of moral responsibility. I conclude my analysis with the following claim: Since AI applications do not have conscious abilities, free will, and autonomy as in the same sense of the ones seen in the human beings, they cannot be held morally responsible.


Performance in the Workplace: a Critical Evaluation of Cognitive Enhancement
Acartürk, Cengiz; Mücen, Barış (2022-04-01)
The popular debates about the future organization of work through artificial intelligence technologies focus on the replacement of human beings by novel technologies. In this essay, we oppose this statement by closely following what has been developed as AI technologies and analyzing how they work, specifically focusing on research that may impact work organizations. We develop this argument by showing that the recent research and developments in AI technologies focus on developing accurate and precise perf...
A Review on Interpretable and Explainable Artificial Intelligence in Hydroclimatic Applications
Basagaoglu, Hakan; Chakraborty, Debaditya; Do Lago, Cesar; Gutierrez, Lilianna; ŞAHİNLİ, MEHMET ARİF; Giacomoni, Marcio; Furl, Chad; Mirchi, Ali; Moriasi, Daniel; Şengör, Sema Sevinç (2022-04-01)
This review focuses on the use of Interpretable Artificial Intelligence (IAI) and eXplainable Artificial Intelligence (XAI) models for data imputations and numerical or categorical hydroclimatic predictions from nonlinearly combined multidimensional predictors. The AI models considered in this paper involve Extreme Gradient Boosting, Light Gradient Boosting, Categorical Boosting, Extremely Randomized Trees, and Random Forest. These AI models can transform into XAI models when they are coupled with the expla...
Generation and modification of 3D models with deep neural networks
Öngün, Cihan; Temizel, Alptekin; Department of Information Systems (2021-9)
Artificial intelligence (AI) and particularly deep neural networks (DNN) have become very hot topics in the recent years and they have been shown to be successful in problems such as detection, recognition and segmentation. More recently DNNs have started to be popular in data generation problems by the invention of Generative Adversarial Networks (GAN). Using GANs, various types of data such as audio, image or 3D models could be generated. In this thesis, we aim to propose a system that creates artificial...
Context-aware markov decision processes
Ekmekçi, Ömer; Polat, Faruk; Department of Computer Engineering (2014)
In the 1990s, when artificial intelligence (AI) research become an important area again, researchers quitted trying to solve the ultimate problem, generating autonomous agents with "human-level intelligence". Currently, significantly important part of the research is highly focused on developing autonomous agents particularly dedicated to solve problems only in a chosen domain. Even though models and algorithms provided in reinforcement learning (RL), such as Markov Decision Processes (MDP), are successful ...
Interacting fuzzy multimodel intelligent tracking system for swift target manoeuvres
Gokkus, L; Erkmen, Aydan Müşerref; Tekinalp, Ozan (1997-09-11)
This paper focuses on the generation of an intelligent tracker module equipped with a wavelet based neural network that learns predictions from past experience. The perception of actual tar et manoeuvre and prediction of its future states are achieved in this work by "projecting" actual observations into decision spaces of local fuzzy predictions based on independent prototypical trajectory types: linear, parabolic and square root type trajectory. Decentralized tracking decisions are thus generated which ar...
Citation Formats
M. C. Özmen, “Ethics of artificial intelligence: moral responsibility of self-driving cars and sex robots,” Thesis (M.S.) -- Graduate School of Social Sciences. Philosophy., Middle East Technical University, 2019.