Master Thesis: Who Is Responsible When the Robot Decides?

Technology, Data & Digital · Data, AI & Analytics · Artificial Intelligence · Machine Learning · Robotics & Automation

In short

Denna masteruppsats fokuserar på autonoma robotar (AMR) som verkar i offentliga miljöer och undersöker hur identitetshantering, autentisering, auktorisation, delegering, loggning och spårbarhet kan stödja ansvarsfull autonomi. Uppsatsen syftar till att identifiera tekniska, organisatoriska och regulatoriska villkor för att kunna fastställa ansvar när en autonom robot orsakar skada.

Responsibilities

Review relevant research, standards, and regulations.
Interview practitioners working in autonomous systems, security, identity management, and compliance.
Assess requirements against documented incidents involving autonomous systems.
Develop a requirements framework, identify gaps, and propose practical recommendations for accountable autonomy.

Requirements

Identify the technical, organisational, and regulatory conditions needed to reconstruct responsibility after an AI-directed AMR causes harm.

Desired Qualifications

AI agents can plan and act on behalf of people and organisations.
Autonomous robots operate in the physical world.
Control is shared among principals, developers, manufacturers, integrators, operators, and supervisors.
It can be difficult to establish how responsibility should be traced when something goes wrong.
Autonomous mobile robots (AMRs) operating in public or semi-public environments.
Identity management, authentication, authorization, delegation, logging, and traceability can support accountable autonomy.
The project will examine accountability conditions; it will not determine final legal liability.

Skills

AI agentsautonomous robotsidentity managementauthenticationauthorizationdelegationloggingtraceabilityautonomous systemssecuritycompliance

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