link Source : www.edx.org
date_range Débute le 7 février 2022
event_note Se termine le 28 mars 2022
list 7 séquences
assignment Niveau : Intermédiaire
chat_bubble_outline Langue : Anglais
card_giftcard 210 points
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Les infos clés

credit_card Formation gratuite
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timer 21 heures de cours

En résumé

How much would you like your smart home to know about you? Has your data been harvested and used for political advertising on social media? Would you be happy to be profiled by a predictive policing AI?

As we create more data-driven technologies, those issues become increasingly urgent. We must begin to ask not only ‘what can we do?’, but also ‘what should we do?’ How should we design new technologies to make sure they are used for good, not bad purposes?

The ‘good’, the ‘bad’, and the ‘should’ are a domain of ethics, and a basis for other important concepts such as justice, fairness, rights, respect. They further inform the law and what is legal. Finally, they are at the roots of an extremely important currency in the modern economy: trust.

This story-driven course is taught by the leading experts in data science, AI, information law, science and technology studies, and responsible research and innovation, and informed by case studies supplied by the digital business frontrunners and tech companies. We will look at real-world controversies and ethical challenges to introduce and critically discuss the social, political, legal and ethical issues surrounding data-driven innovation, including those posed by big data, AI systems, and machine learning systems. We will drill down into case studies, structured around core concerns being raised by society, governments and industry, such as bias, fairness, rights, data re-use, data protection and data privacy, discrimination, transparency and accountability. Throughout the course, we will emphasise the importance of being mindful of the realities and complexities of making ethical decisions in a landscape of competing interests.

We will engage with data-based contexts such as facial recognition, predictive policing, medical screening, smart homes and cities, banking, and AI, to explore their social implications and the tools required to minimise harm, promote fairness, and safeguard and increase human autonomy and well-being. We address cutting edge issues being grappled with by practitioners and new approaches emerging in industry and offer the opportunity for participants to develop and feedback solutions.

Completing this course will help you understand the challenges we are facing, and inspire you to design, criticise, and develop better intelligent systems to shape our future.

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Les prérequis

General IT literacy and secondary school maths.

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Le programme

  • Understand and articulate the critical, social, legal, political and ethical issues arising throughout the data lifecycle.
  • Understand relevant concepts, including: ethics/morality, responsibility, digital rights, data governance, human-data interaction, responsible research and innovation.
  • Identify and assess current ethical issues in data science and industry.
  • Apply professional critical judgement and reflexivity to moral problems with no clear solutions.
  • Evaluate ethical issues you face in your current professional practice.
  • Identify and apply ethically driven solutions to those issues.
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Les intervenants

Ewa Luger
Chancellor's Fellow
The University of Edinburgh

Michael Rovatsos
Professor
The University of Edinburgh

Burkhard Schafer
Professor
The University of Edinburgh

Morgan Currie
Lecturer
The University of Edinburgh

Robin Williams
Professor
The University of Edinburgh

Claudia Pagliari
Senior Lecturer
The University of Edinburgh

Sarah Chan
Chancellor's Fellow
The University of Edinburgh

James Stewart
Lecturer
The University of Edinburgh

Lachlan Urquhart
Lecturer
The University of Edinburgh

Simon Fokt
Project Lead
The University of Edinburgh

Shannon Vallor
Professor
The University of Edinburgh

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Le concepteur

The University of Edinburgh
Delivering excellence in teaching and learning. Consistently ranked as one of the world's top 50 universities and top 3 UK provider of online Masters courses. The University of Edinburgh offers over 700 diverse degree programmes with over 31,000 students currently studying with us from across the world.
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La plateforme

Edx

EdX est une plateforme d'apprentissage en ligne (dite FLOT ou MOOC). Elle héberge et met gratuitement à disposition des cours en ligne de niveau universitaire à travers le monde entier. Elle mène également des recherches sur l'apprentissage en ligne et la façon dont les utilisateurs utilisent celle-ci. Elle est à but non lucratif et la plateforme utilise un logiciel open source.

EdX a été fondée par le Massachusetts Institute of Technology et par l'université Harvard en mai 2012. En 2014, environ 50 écoles, associations et organisations internationales offrent ou projettent d'offrir des cours sur EdX. En juillet 2014, elle avait plus de 2,5 millions d'utilisateurs suivant plus de 200 cours en ligne.

Les deux universités américaines qui financent la plateforme ont investi 60 millions USD dans son développement. La plateforme France Université Numérique utilise la technologie openedX, supportée par Google.

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GOOD

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Anonyme,
le 7 septembre 2021
Vous êtes le concepteur de ce MOOC ?
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le 28 août 2021
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Fascinante!

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le 12 mai 2021
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Amazing!