XAI Seminar with ZLAIRE

Summer seminar on latest topics in XAI. Coordinator: Amro Najjar Professors: Dov Gabbay, Mehdi Dastani, Leon van der Torre Schedule: 1 seminar on Tuesday morning between 10:00 to 12:00 Luxembourg time. Format: Online (WebEx)

Overview

The course is a postgraduate series of seminars addressing selected topics of artificial intelligence. The course is structured into two branches. The AI Robolab is responsible for Branch II: AI Ethics and Explainability.

AI Ethics and Explainability

With the widespread use of sophisticated AI applications,researchers started to study the underlying ethical principles guiding these systems. Furthermore, this tendency has been encouraged by recent calls, white papers, and guidance documents stressing the importance of AI Ethics and AI Transparency. In this first part, this course gives an overview of recent research works addressing AI Ethics, their applications, and their implementation in robots and multi-agent systems. In the second part, the course focuses on introducing eXplainable AI (XAI) and presenting its applications in machine learning (interpretable ML and DNNs, LIME, etc.) and explainable agents and robots.

Form

The course supervisor defines a list of research articles. Each lecture, a research article is presented by a student followed by a discussion animated by the course supervisor and questions asked by other student participants.

Aims

In addition to introducing the students to this recent topic, the course aims to make students familiar with research methodology and help them get used to reading scientific articles, identifying their contributions, limitations, positioning them vis-à-vis other related research works, and highlight the future research perspectives

List of lectures

Introductory lecture

Overview of the course content and structure, presentation of further topics.

Reading task for students in the branch « AI Ethics »:

– An Introduction to Ethics in Robotics and AI (Bartneck, Lütge, Wagner, Welsh) Chapter 3 (p. 17-26)

– The Nature, Importance, and Difficulty of Machine Ethics (Moor) (p. 1-4)

Teachers : Sana Nouzri, Amro Najjar

Lecture 1
Topic.1 Machine and AI Ethics

Title : Why Machine Ethics? (Allen, Wallace, Smit)

Name of student : KUMARI Archana

Teacher : Amro Najjar

Date : November 5, 2020

Papers

+ Why Machine Ethics? (Allen, Wallace, Smit) (p. 2-7)

+ Incorporating Ethics into Artificial Intelligence (Etzioni, Etzioni) (p. 1-16)

Presentation 

Why Machine Ethics Presentation

Lecture 2
Topic.2 Ethics of Autonomous Vehicles and other applications

Title : Psychological roadblocks to the adoption of self-driving vehicles

Name of student : RAHMAN Md Mafizur

Teacher : Sana Nouzri

Date : November 10,2020

Papers 

+Psychological roadblocks to the adoption of self-driving vehicles (Shariff, Bonnefon, Rahwan) – (p.2-9)

+The Ethical Governance of the Digital During and After the COVID‑19 Pandemic(Mariarosaria Taddeo1) – (p.1-6)

Presentation 

Psychological roadblocks to the adoption of self-driving vehicles

Lecture 3
Topic.3 Ethics and Intelligent/Autonomous Agent

Title : Building Jiminy Cricket: An Architecture for Moral Agreements Among Stakeholder

Name of student : CAETANO Nélson

Teacher : Amro Najjar

Date : November 12,2020

Papers 

+ Building Jiminy Cricket: An Architecture for Moral Agreements Among Stakeholders (Liao, Slavkovik, van der Torre) (p.1-15)

+ On The Morality of Artificial Agents (Floridi, Sanders) (p.1-29)

Presentation

Building Jiminy Cricket: An Architecture for Moral Agreements Among Stakeholders

Lecture 4
Topic.4 Ethics in Multi-Agent Systems

Title : Ethical Judgment of Agents’ Behaviors in Multi-Agent Systems

Name of student : BORCHULUUN Maitsetseg

Teacher : Amro Najjar

Date : November 17,2020

Papers

+ Ethical Judgment of Agents’ Behaviors in Multi-Agent Systems (Cointe, Bonnet, Boissier) – (p.1-10)

+ A Voting-Based System for Ethical Decision Making (Noothigattu et al.) – 1-2 (p.1-25)

Presentation

Ethical Judgment of Agents’ Behaviors in Multi-Agent Systems

Lecture 5
Topic.5 Ethics and Robots

Title : An architecture for ethical robots inspired by the simulation theory of cognition

Name of student : MOAD Hani

Teacher : Amro Najjar

Date : November 19,2020

Papers 

+ Towards the Ethical Robot (Gips)(p. 2-13)

+ An architecture for ethical robots inspired by the simulation theory of cognition (Vanderelst, Winfield) (p.1-11)

+ Ethical Decision Making in Robots: Autonomy, Trust and Responsibility (Alaieri, Vellino) (P1-10)

Presentation 

An architecture for ethical robots inspired by the simulation theory of cognition

Lecture 6
Topic. 6 Data Driven and Goal Driven XAI

Title : Explainable agents and robots: Results from a systematic literature review (Anjomshoae, Najjar, Calvaresi, Framling) AND Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) (Adadi & Berrada) »

Name of student : HO HaoCheng

Teacher : Amro Najjar

Date : November 24,2020

Papers 

+ Explainable agents and robots: Results from a systematic literature review (Anjomshoae, Najjar, Calvaresi, Framling) AND Peeking Inside the Black-Box: A Survey on

+Peeking Inside the Black-Box- A Survey on Explainable Artificial Intelligence (XAI) (Adadi & Berrada)

Presentation 

Data Driven & Goal Driven XAI

Lecture 7
Topic 7: XAI: LIME

Title : Why should I trust you? » Explaining the predictions of any classifier (Ribeiro, Singh, Guestrin) »

Name of student : SHOJAEE Nooshin

Teacher : Sana Nouzri

Date : November 26,2020

Papers 

+ »Why should I trust you? » Explaining the predictions of any classifier (Ribeiro, Singh, Guestrin)

Presentation 

Why should I trust you? » Explaining the predictions of any classifier

Lecture 8
Topic 8: XAI:Gradient Based DNN Explanation

Title : Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization (Selvaraju1 et al.)

Name of student : HOSSAIN Saddam

Teacher : Sana Nouzri

Date : December 1,2020

Papers 

+Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization (Selvaraju1 et al.)

Presentation 

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Lecture 9
Topic 9: XAI: Context importance and utility

Title : Explanations of black-box model predictions by contextual importance and utility (Anjomshae, Framling, Najjar)

Name of student : CAUSHI Ada

Teacher : Amro Najjar

Date : December 3,2020

Papers 

+Explanations of black-box model predictions by contextual importance and utility (Anjomshae, Framling, Najjar)

Presentation 

Explanations of black-box model predictions by contextual importance and utility

Lecture 10
Topic 10: Understandable Robots

Title : Understandable robots-what, why, and how (Hellström, Bensch)

Name of student : JAHIC Alen

Teacher : Sana Nouzri

Date : December 8,2020

Papers 

+Understandable robots-what, why, and how (Hellström, Bensch)

Presentation 

Understandable robots-what, why, and how

Lecture 11
Topic 11: Explainable Planning

Title : Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy (Chakraborti et al.)

Name of student : SHABANI ABETARE

Teacher : Amro Najjar

Date : December 10,2020

Papers 

+Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy (Chakraborti et al.)

Presentation 

Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy

Lecture 12
Topic 12: Explainability in robots: case study

Title : Personalised self-explanation by robots: The role of goals versus beliefs in robot-action explanation for children and adults (Kaptein et al.)

Name of student : ZOHAIRI Fateme

Teacher : Sana Nouzri

Date : December 15,2020

Papers 

+Personalised self-explanation by robots: The role of goals versus beliefs in robot-action explanation for children and adults (Kaptein et al.)

Presentation 

Personalised self-explanation by robots: The role of goals versus beliefs in robot-action explanation for children and adults

Wrap up lecture
  • Overview, conclusions and discussions of the AI Ethics and XAI.
  • Q&A

Seminar on AI and Ethics

Selected topics in Artificial Intelligence (STAI) 2020 seminar, Semester 3
Seminar in the profile « Intelligent Systems »
Branch II: AI and Ethics (Najjar, Nouzri)