link Origem: www.edx.org
date_range Inicia em 9 de maio de 2022
event_note Termina em 4 de julho de 2022
list 7 sequencias
assignment Nível: Intermediário
chat_bubble_outline Idioma : Inglês
card_giftcard 210 pontos
Avaliações
4.7
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5 avaliações

Informações principais

credit_card Free accesso
verified_user Certificado pago
timer 21 total de horas

Sobre o conteúdo

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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Pré-requisito

General IT literacy and secondary school maths.

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Programa de estudos

  • 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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Instrutores

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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Criador do conteúdo

The University of Edinburgh

A Universidade de Edimburgo é uma universidade britânica, fundada em 1583 durante um período de rápido desenvolvimento da cidade de Edimburgo. É considerada uma das universidades mais prestigiadas do mundo.

Tendo contado entre os seus estudantes os inventores da Revolução Industrial, tem mais estudantes do que qualquer outra universidade escocesa e é uma das maiores universidades do Reino Unido.

assistant

Plataforma

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.

Avaliações
4.7 /5 Média
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Conteúdo
4.1/5
Plataforma
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Didática
5/5
Melhor avaliação

thank you for this

Anônimo
Anônimo,
Publicada em 9 de fevereiro de 2022
Você é o criador deste MOOC?
Qual a sua apinião sobre esse recurso?
Conteúdo
5/5
Platforma
5/5
Didática
5/5
Anônimo,
em 30 de maio de 2022
starstarstarstar

Não foi possível concluir o curso, pelo computador está bloqueado, pelo celular está ocorrendo erro.

Anônimo,
em 9 de fevereiro de 2022
starstarstarstarstar

thank you for this

Anônimo,
em 7 de setembro de 2021
starstarstarstarstar

GOOD

Anônimo,
em 28 de agosto de 2021
starstarstarstarstar

Fascinante!

Anônimo,
em 12 de maio de 2021
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Amazing!