Is Staying in your Filter Bubble what you really want?

Andrea Ruiz Valencia, Nele Pärje, Maxime Paquin, Jija Bhattacharya, Alice Masoni, Christos Kampolis

The Digital Single Market (DSM) Strategy aims to overcome the fragmentation of the European market and merge 28 markets into a single digital economy. To prepare the digital grounds for the DSM to flourish, several obstacles need to be tackled, one of which revolves around the personalization of the Internet. There is a disturbing phenomenon in the way online platforms operate today, notably the way algorithms predict and select content we want to consume.

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GDPR: Societal Retribution

Merve Bektas, Yasmim Pessoa, Kaia Socha, Laura Basiacco, Justyna Zawada, Artaban Micali Drossos

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We have all undoubtedly seen this request pop up in front of our faces as we navigate literally every website we decide to surf. Let’s be honest, how many of us even know to what exactly we are agreeing to? Yet every day we put our trust in the hands of companies without knowing the specifics of their terms and conditions. The willingness to login quickly, to buy a distinct product, or book an Airbnb overpowers the one of reading the 20 pages dedicated to those terms.

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Can someone blame us for not wanting to read those tedious conditions?

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AI on the Driving Seat?

New ethical and legal questions when it comes to self-driving cars

Hui Ding, Guanwen Li, Ana Pop Stefanija, Mattia Trino,  Natalie Walow, Manlin Zhu

Does AI need an introduction?

Year 2018. With the latest advancement of artificial intelligence and its increased usage in vast areas of societal life, the chances you asked yourself at least once “Will robots take over our jobs?”, “Who will be responsible for the self-driving cars if something bad happens?” are big.

Today, one of the most quoted examples is the development of autonomous vehicles, which could bring positive changes to traffic management, security and urban development, but also rise complex legal issues and ethical dilemmas. When talking about it, the first question we should keep in mind is “who is accountable when a self-driving car causes an accident?”. Meanwhile, try to think about Asimov’s first law: “A robot may not injure a human being or, through inaction, allow a human being to come to harm”. Thus, how come that a robot built according to Asimov’s laws could cause an accident? Practice says, it already happens, unfortunately. Furthermore, in an algorithmically unforeseen situation, who would the car hit: the kid crossing the street, the old person at the sidewalk, or will it crash against a wall killing the person inside the car? It comes clear, at this point, that we are in front of many AI-related legal and ethical issues and there’s no easy solution.

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 What self-driving cars at an intersection would look like

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Machine Morality: Where Robotics Meets Ethical Behavior Standards

Deborah Kakolobango, Viktorija Ulickaite, Isabell Schwanke, Sergejs Mikaeljans, Itsaso Goikoetxea Mallea, Xu Huiqin

The breakthrough of digital technology and 4th Industrial Revolution have already affected almost all industries and economies in the world. Global interest in artificial intelligence (AI) technologies shows its potential to transform the way people live. Self-driving cars, intelligent home assistants, smartphones and precise medical predictions are only the first steps of AI use in industry, whereas its potential in many more industries are growing rapidly. In the past decade, tech companies, including Facebook, Google and Amazon not only invested large amount of money in artificial intelligence, but also opened research labs to deal with its future development and growing threats.

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AI: Fiction of the past, reality of the present, problem of the future?

Artificial Intelligence: Ethics and Regulations

Seda Yılmaz, Mehmet TURGUT, Müfit Yılmaz Gökmen, Begüm Yurttaş , Sibel Pekin, Renjani Puspo Sari

Artificial intelligence (AI) was a thing in many movies back in the 90s, but now it’s slowly taking over our lives. From credit card transactions, Google translate, GPS in our cars, spam filters, to Siri in iPhone, AI is pretty much everywhere. It’s also seen as a big leap and a very profitable sector, so it has been researched and questioned by public, private and academic entities. But this rapid increase comes with new challenges for all, especially in terms of its effects on society, the dynamics of human life and how to regulate these imminent changes.

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