Skip to content

On Memory Systems for Companion Robots: Implementation Methodologies and Legal Implications

by Paul Baxter, Rachel Wood, Tony Belpaeme, Marco Nalin
AISB Symposium on Human Memory for Artificial Agents ()

Abstract

Companion robots are becoming increasingly prevalent in a wide variety of domains. The development of realistic long-term human-robot interaction is desirable and this entails the extension of interactions over multiple episodes. Memory systems are thus required in support of this goal. While current memory systems for artificial agents (and companion robots in particular) are currently restricted to symbolic database structures, this is not guaranteed to remain the case, with an increasing number of approaches using sub-symbolic representation schemes. This position paper explores the legal and ethical consequences of this shift of perspective by examining a range of solutions to the problem of data removal from artificial memory systems, specifically in the context of healthcare applications, and concludes that the current legislative provisions for data processing and protection may be inadequate for the next generations of companion robots.

Cite this document (BETA)

Authors on Mendeley

Readership Statistics

8 Readers on Mendeley
by Discipline
 
100% Computer Science
by Academic Status
 
38% Student > Ph. D. Student
 
25% Researcher
 
25% Student > Master
by Country
 
50% United Kingdom
 
13% Germany

Sign up today - FREE

Mendeley saves you time finding and organizing research. Learn more

  • All your research in one place
  • Add and import papers easily
  • Access it anywhere, anytime

Start using Mendeley in seconds!

Sign up & Download

Already have an account? Sign in