Debats Sobre Ètica de la Ciència de Dades

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Crèdits
3
Tipus
Optativa
Requisits
Aquesta assignatura no té requisits, però té capacitats prèvies
Departament
ESSI
Web
https://learnsql.fib.upc.es/moodle/
In this course we debate the impact on society of new advances in Data Science. We focus on ethics and the impact of Data Science on society. This course fosters the social competences of students, by building on their social responsibility, but also acquiring communication skills to debate about Data Science problems from an ethical perspective. The overall aim is to develop their critical attitude and reflection for social good.

Professorat

Responsable

  • Oscar Romero Moral ( )

Altres

  • Alberto Abello Gamazo ( )
  • Besim Bilalli ( )

Hores setmanals

Teoria
0.6
Problemes
0.8
Laboratori
4
Aprenentatge dirigit
0
Aprenentatge autònom
9.6

Competències

Competències Transversals

Sostenibilitat i compromís social

  • CT2 - Conèixer i comprendre la complexitat dels fenòmens econòmics i socials típics de la societat del benestar; tenir capacitat per relacionar el benestar amb la globalització i la sostenibilitat; assolir habilitats per usar de forma equilibrada i compatible la tècnica, la tecnologia, l'economia i la sostenibilitat.

Tercera llengua

  • CT5 - Conèixer una tercera llengua, preferentment l'anglès, amb un nivell adequat oral i escrit i en consonància amb les necessitats que tindran els titulats i titulades.

Perspectiva de gènere

  • CT6 - Conèixer i comprendre, des de l'àmbit de la titulació mateixa, les desigualtats per raó de sexe i gènere en la societat, i integrar les diverses necessitats i preferències per raó de sexe i gènere en el disseny de solucions i la resolució de problemes.

Bàsiques

  • CB7 - Que els estudiants siguin capaços d'integrar coneixements i enfrontar-se a la complexitat de formular judicis a partir d'una informació que, essent incomplerta o limitada, inclogui reflexions sobre les responsabilitats socials i ètiques vinculades a l'aplicació dels seus coneixements i judicis.

Competències Tècniques

Específiques

  • CE12 - Aplicar la ciència de dades en projectes multidisciplinaris per resoldre problemes en dominis nous o poc coneguts per la ciència de dades i que siguin econòmicament viables, socialment acceptables, i d'acord amb la legalitat vigent
  • CE13 - Identificar les principals amenaces en l'àmbit de l'ètica i la privacitat de dades en un projecte de ciència de dades (tant en l'aspecte de gestió com d'anàlisi de dades) i desenvolupar i implantar mesures adequades per esmorteïr aquestes amenaces.

Objectius

  1. Acknowledge the current and future impact of next generation analytical systems on society
    Competències relacionades: CB7, CT2, CT5, CT6, CE12, CE13,
  2. Ability to study and analyze problems in a critical mood
    Competències relacionades: CB7, CT2, CT5, CT6, CE12, CE13,
  3. Ability to critically read texts
    Competències relacionades: CB7, CT2, CT5, CT6, CE12, CE13,
  4. Develop critical reasoning with special focus on ethics and social impact
    Competències relacionades: CB7, CT2, CT5, CT6, CE12, CE13,
  5. Develop soft skills to defend - criticize a predetermined position in public
    Competències relacionades: CB7, CT2, CT5, CT6, CE12, CE13,
  6. Improve the writing skills
    Competències relacionades: CB7, CT2, CT5, CT6, CE12, CE13,

Continguts

  1. Introduction: Debate Rules and Course Structure
    In this first module we will present the course, its structure and methodology.
  2. Ethics and social impact of next generation analytical systems: Debates
    After presenting what will be next in the area of data science and big data, in this module we discuss the impact these new ideas will have on society. More specifically, we will discuss about ethics, personal data protection, hacking, licensing / patenting, IP rights, etc. The discussion will be on the form of debates.
  3. Read a book to develop your ethical reasoning
    A mandatory book read that will develop the ethical reasoning of the students

Activitats

Activitat Acte avaluatiu


Introduction

The course is introduced. We will discuss the course structure, the methodology and the evaluation.
Objectius: 1
Continguts:
Teoria
3h
Problemes
0h
Laboratori
0h
Aprenentatge dirigit
0h
Aprenentatge autònom
8h

Debates on Ethics and social impact of next generation analytical systems and Big Data

During these sessions the debates discussing ethics and social impact of next generation analytical systems and Big Data will take place. You must read the available material before the debate. Then, during the debate you will assign to a group: either to defend an idea, or go against it. You may also be asked to moderate the debate. Then, the debate takes place and afterwards, each group needs to write down a report with their conclusions
Objectius: 1 2 3 4 5 6
Continguts:
Teoria
0h
Problemes
0h
Laboratori
20h
Aprenentatge dirigit
0h
Aprenentatge autònom
19h

Read a seminal book on ethics for data science and Big Data

Reads the book and conducts the assessment provided
Objectius: 1 2 3 4 5 6
Continguts:
Teoria
0h
Problemes
4h
Laboratori
0h
Aprenentatge dirigit
0h
Aprenentatge autònom
21h

Metodologia docent

There will be 6 face-to-face sessions. The first one introduces the course. The other will be debates. Before each debate, a proposed topic is given, together with some basic material (typically papers) to foste a debate during the next lecture.

The students are meant to read the material, and look for additional stuff, *before* the lecture so that they can better defend their position during the debate.
During the lecture, there will be an organized debate (pro and against groups will be configured as well as a moderator).
After the debate, each group (pro, against and moderator) will be asked to write down their debate conclusions.

The course methodology puts the focus on three main aspects:
- Critical reasoning (with special focus on ethics and social impact),
- Develop soft skills to defend - criticize a position in public,
- Improve the writing skills summarizing an event.

The course methodology wraps up with the read and reflection of a seminal book on ethics for data science.

Mètode d'avaluació

Each debate entails two main parts:
- (60%) The face-to-face debate Db (this mark is computed from the report written by the moderator group and supervised by the lecturers),
- (40%) The written conclusions Wr.

Thus, each debate mark (Di) is computed as Di = Db*0,6 + Wr*0,4. The final mark will be computed as the average of the debates. Those students not debating will have to write a report and their session mark will be 100% on Wr (i.e., Di = Wr).
The final evaluation of the debates (DM) is the average mark of the debates.

The book reading (BM) is evaluated by means of a deliverable related to it.

The course final mark is calculated as follows: 0,8*DM + 0,2*BM.

The evaluation is done on an individual basis.

Bibliografia

Bàsica:

Capacitats prèvies

Basic knowledge in Data Management and Analytics