activity
20112021
most citedArtificial Intelligence Safety and Cybersecurity: a Timeline of AI Failures

78 citations · 317 across the 31 of their papers we have counts for

collaborators

33 papers

cs.NE2021

Death in Genetic Algorithms

Micah Burkhardt, Roman V. Yampolskiy

Death has long been overlooked in evolutionary algorithms. Recent research has shown that death (when applied properly) can benefit the overall fitness of a population and can outp…

cs.AI2021★ 19 cited

Impossibility Results in AI: A Survey

Mario Brcic, Roman V. Yampolskiy

An impossibility theorem demonstrates that a particular problem or set of problems cannot be solved as described in the claim. Such theorems put limits on what is possible to do co…

cs.AI2021★ 1 cited

AI Risk Skepticism

Roman V. Yampolskiy

In this work, we survey skepticism regarding AI risk and show parallels with other types of scientific skepticism. We start by classifying different types of AI Risk skepticism and…

cs.CY2020

Transdisciplinary AI Observatory -- Retrospective Analyses and Future-Oriented Contradistinctions

Nadisha-Marie Aliman, Leon Kester, Roman Yampolskiy

In the last years, AI safety gained international recognition in the light of heterogeneous safety-critical and ethical issues that risk overshadowing the broad beneficial impacts…

cs.AI2020

Chess as a Testing Grounds for the Oracle Approach to AI Safety

James D. Miller, Roman Yampolskiy, Olle Haggstrom +1

To reduce the danger of powerful super-intelligent AIs, we might make the first such AIs oracles that can only send and receive messages. This paper proposes a possibly practical m…

cs.CY2020★ 4 cited

On Controllability of AI

Roman V. Yampolskiy

Invention of artificial general intelligence is predicted to cause a shift in the trajectory of human civilization. In order to reap the benefits and avoid pitfalls of such powerfu…

cs.CY2020★ 1 cited

Human AGI

Roman V. Yampolskiy

Terms Artificial General Intelligence (AGI) and Human-Level Artificial Intelligence (HLAI) have been used interchangeably to refer to the Holy Grail of Artificial Intelligence (AI)…

q-fin.GN2020★ 3 cited

An AGI Modifying Its Utility Function in Violation of the Orthogonality Thesis

James D. Miller, Roman Yampolskiy, Olle Häggström

An artificial general intelligence (AGI) might have an instrumental drive to modify its utility function to improve its ability to cooperate, bargain, promise, threaten, and resist…

cs.CY2019

Classification Schemas for Artificial Intelligence Failures

Peter J. Scott, Roman V. Yampolskiy

In this paper we examine historical failures of artificial intelligence (AI) and propose a classification scheme for categorizing future failures. By doing so we hope that (a) the…

physics.pop-ph2019★ 15 cited

The sounds of science: a symphony for many instruments and voices

Gerianne Alexander, Roland E. Allen, Anthony Atala +15

This paper is a celebration of the frontiers of science. Goodenough, the maestro who transformed energy usage and technology through the invention of the lithium ion battery, opens…

cs.CY2019★ 10 cited

Unexplainability and Incomprehensibility of Artificial Intelligence

Roman V. Yampolskiy

Explainability and comprehensibility of AI are important requirements for intelligent systems deployed in real-world domains. Users want and frequently need to understand how decis…

cs.AI2019★ 12 cited

Personal Universes: A Solution to the Multi-Agent Value Alignment Problem

Roman V. Yampolskiy

AI Safety researchers attempting to align values of highly capable intelligent systems with those of humanity face a number of challenges including personal value extraction, multi…

cs.LG2018★ 4 cited

Emergence of Addictive Behaviors in Reinforcement Learning Agents

Vahid Behzadan, Roman V. Yampolskiy, Arslan Munir

This paper presents a novel approach to the technical analysis of wireheading in intelligent agents. Inspired by the natural analogues of wireheading and their prevalent manifestat…

cs.CY2018

Uploading Brain into Computer: Whom to Upload First?

Yana B. Feygin, Kelly Morris, Roman V. Yampolskiy

The final goal of the intelligence augmentation process is a complete merger of biological brains and computers allowing for integration and mutual enhancement between computer's s…

cs.CV2018★ 8 cited

Optical Illusions Images Dataset

Robert Max Williams, Roman V. Yampolskiy

Human vision is capable of performing many tasks not optimized for in its long evolution. Reading text and identifying artificial objects such as road signs are both tasks that mam…

cs.NE2018

Why We Do Not Evolve Software? Analysis of Evolutionary Algorithms

Roman V. Yampolskiy

In this paper, we review the state-of-the-art results in evolutionary computation and observe that we do not evolve non trivial software from scratch and with no human intervention…

cs.GL2018

Human Indignity: From Legal AI Personhood to Selfish Memes

Roman V. Yampolskiy

It is possible to rely on current corporate law to grant legal personhood to Artificially Intelligent (AI) agents. In this paper, after introducing pathways to AI personhood, we an…

cs.AI2018★ 15 cited

Building Safer AGI by introducing Artificial Stupidity

Michaël Trazzi, Roman V. Yampolskiy

Artificial Intelligence (AI) achieved super-human performance in a broad variety of domains. We say that an AI is made Artificially Stupid on a task when some limitations are delib…

cs.AI2018

A Psychopathological Approach to Safety Engineering in AI and AGI

Vahid Behzadan, Arslan Munir, Roman V. Yampolskiy

The complexity of dynamics in AI techniques is already approaching that of complex adaptive systems, thus curtailing the feasibility of formal controllability and reachability anal…

cs.AI2017★ 15 cited

Detecting Qualia in Natural and Artificial Agents

Roman V. Yampolskiy

The Hard Problem of consciousness has been dismissed as an illusion. By showing that computers are capable of experiencing, we show that they are at least rudimentarily conscious w…

cs.AI2017★ 7 cited

Guidelines for Artificial Intelligence Containment

James Babcock, Janos Kramar, Roman V. Yampolskiy

With almost daily improvements in capabilities of artificial intelligence it is more important than ever to develop safety software for use by the AI research community. Building o…

cs.CY2017★ 4 cited

Evaluating race and sex diversity in the world's largest companies using deep neural networks

Konstantin Chekanov, Polina Mamoshina, Roman V. Yampolskiy +3

Diversity is one of the fundamental properties for the survival of species, populations, and organizations. Recent advances in deep learning allow for the rapid and automatic asses…

cs.AI2017★ 1 cited

The Singularity May Be Near

Roman V. Yampolskiy

Toby Walsh in 'The Singularity May Never Be Near' gives six arguments to support his point of view that technological singularity may happen but that it is unlikely. In this paper,…

cs.AI2016★ 78 cited

Artificial Intelligence Safety and Cybersecurity: a Timeline of AI Failures

Roman V. Yampolskiy, M. S. Spellchecker

In this work, we present and analyze reported failures of artificially intelligent systems and extrapolate our analysis to future AIs. We suggest that both the frequency and the se…