Organization
DJ4ME divides into the following teams and tasks.
WP1. A persuasion dialogue system for Dialogue Jiminy (DJ)
WP2. Language models for norm mining and explanation generation
WP3. Case studies and integration
WP4. Management and dissemination
WP1. Dialogues and avatars.
Generalise the applicability of the AJ Jiminy
architecture for AI ethics. Transform the Autonomous Jiminy moral advisor into an
interactive Dialogue Jiminy (DJ) by replacing argumentation as inference with
argumentation as dialogue. Create a communication language and a protocol for
persuasion dialogues on moral dilemmas. Study strategic aspects of these dialogues
for the stakeholder avatars participating in these dialogues.
WP2. Norm mining and explanation synthesis.
Create a natural languageinterface between the Dialogue Jiminy and the stakeholders (or the general public).
Use machine learning to construct two language modules. First, use NLP to transform
the stakeholders’ informal norms into the avatars’ formal rules. Secondly, use natural
language generation to synthesise the outputs of AJ (argument extensions) or DJ
(formal dialogues) into explanations in plain English of why a particular decision was
passed as the moral recommendation to the agent.
WP3. Integration, demonstrator and case studies.
Integrate the DJ dialogue
system and the natural language interface. Integrate the AJ argumentative system and
the natural language interface. Build demonstrators of AJ and DJ. Evaluate these
systems using case studies involving autonomous cars and food recommender
systems from our INTEGRAUTO and EXPECTATION projects.