activity
20172026
most citedThe Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

495 citations · 547 across the 8 of their papers we have counts for

collaborators

8 papers

cs.SE2026

Ouroboros: A Self-Developing Frontier Coding Agent with Reviewed Core Evolution

Anton Razzhigaev, Andrei Gritsaev, Andrei Kaznacheev +3

We present Ouroboros, a self-developing agent harness whose tools, prompts, context assembly, and core implementation improve through reviewed commits that become the runtime for l…

cs.CY2023★ 6 cited

AI Risk Skepticism, A Comprehensive Survey

Vemir Michael Ambartsoumean, Roman V. Yampolskiy

In this thorough study, we took a closer look at the skepticism that has arisen with respect to potential dangers associated with artificial intelligence, denoted as AI Risk Skepti…

cs.CY2021

Principles for new ASI Safety Paradigms

Erland Wittkotter, Roman Yampolskiy

Artificial Superintelligence (ASI) that is invulnerable, immortal, irreplaceable, unrestricted in its powers, and above the law is likely persistently uncontrollable. The goal of A…

cs.CY2021

Understanding and Avoiding AI Failures: A Practical Guide

Heather M. Williams, Roman V. Yampolskiy

As AI technologies increase in capability and ubiquity, AI accidents are becoming more common. Based on normal accident theory, high reliability theory, and open systems theory, we…

cs.AI2019

An AGI with Time-Inconsistent Preferences

James D. Miller, Roman Yampolskiy

This paper reveals a trap for artificial general intelligence (AGI) theorists who use economists' standard method of discounting. This trap is implicitly and falsely assuming that…

cs.OH2019

Simulation Typology and Termination Risks

Alexey Turchin, Michael Batin, David Denkenberger +1

The goal of the article is to explore what is the most probable type of simulation in which humanity lives (if any) and how this affects simulation termination risks. We firstly ex…

cs.AI2018★ 495 cited

The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

Miles Brundage, Shahar Avin, Jack Clark +23

This report surveys the landscape of potential security threats from malicious uses of AI, and proposes ways to better forecast, prevent, and mitigate these threats. After analyzin…

cs.AI2017★ 46 cited

Towards Moral Autonomous Systems

Vicky Charisi, Louise Dennis, Michael Fisher +6

Both the ethics of autonomous systems and the problems of their technical implementation have by now been studied in some detail. Less attention has been given to the areas in whic…