SEEDIG 2018 | Programme details

18, 23, 45, 47, 50, 52, 56, 58, 66, 99, 101, 102** (see the list of proposals)

What contributes to and what restricts the development of data-driven technologies (Internet of Things, artificial intelligence, and blockchain, etc.) in SEE? In which areas of the economy and society are such technologies actively implemented or already used? What challenges do these technologies come with?

IoT, Internet of things, Big Data, Data, development, Data Governance, blockchain, artificial intelligence, robotics, market of technologies, AI, machine learning, cryptocurrency, data decision making.

The future is already here.

The economy and all spheres of our life are gradually becoming digital. Latest technologies have the potential of making services highly profitable, safe, convenient, and fast. Examples include artificial intelligence in the industry; Internet of Things in agriculture, social area, and healthcare projects; cryptocurrencies; cloud services.

Join us in a trying to answer some of the main questions around the development and use of data-driven technologies. Are these new disruptive technologies:

• The basis for the reconstruction of the economy, and for opening new profitable markets?
• New challenges for the state when it comes to governance and legislative regulation?
• Do we need a higher level of understanding of these technologies by the society? Will the labour market need to reform?
• Will they help in creating a new generation of professionals? If so, how can we get there?

We will discuss new opportunities and limitations of data-driven technologies in SEE. Consider business cases from market participants, and also discuss legislative initiatives that support and/or restrict these processes.

World Café: Pick a theme and join the group to discuss. Pick the second theme and rotate.

• Artificial intelligence, automation, and robotics
• Blockchain technology
• Internet of Things

Moderator: Arvin Kamberi, DiploFoundation, Serbia

Facilitators:

• Artificial intelligence, automation, and robotics: Vladimir Radunović, DiploFoundation, Serbia
• Blockchain technology: Sergo Karakozov, IT Development Center, Georgia
• Internet of Things: Blerton Abazi, University for Business and Technology, Kosovo*; Cătălin Vrabie, National University of Political Studies and Public Administration, Romania

Online moderator: Charalampos Kyritsis, National and Kapodistrian University of Athens, Greece

Rapporteur(s):

• Artificial intelligence, automation, and robotics: Ioana Stupariu, Central European University, Romania
• Blockchain technology: Natalia Filina, EURALO Individual’s Association, Russian Federation
• Internet of Things: Blerton Abazi, University for Business and Technology, Kosovo*

• MIT Technology Review, Tech companies should stop pretending AI won’t destroy jobs
• McKinsey, The future of connectivity: Enabling the Internet of Things

• Developments in the field of the Internet of Things (IoT) come with challenges such as privacy, security, and the risk of widening the digital divide. But stopping technological progress is not a solution to these challenges. Instead, regulators should act promptly and devise policies and regulations that support IoT progress while addressing the challenges.
• In the data-driven economy, blockchain can serve as a reliable mechanism for providing more privacy, user-centred solutions, transparency, and credibility of data. This can enhance trust in data processing mechanisms.
• There are also concerns about the immutable nature of the data in blockchain. All actors should work on containing/mitigating the potential misuse of this technology to profile user behaviour online. Personal data needs to remain in the property of users.
• A key issue to be considered is that developers influence decisions made by artificial intelligence (AI) systems through the principles and choices they instil in the programs and algorithms they build. This is why ethical principles should be at the core of AI development.
• AI brings many benefits, along with complex challenges. We should take advantage of AI to make our work easier, but we should also be aware of things that AI cannot achieve such as values, ethics, empathy, emotions.  AI should be regulated since the technology is readily being used in various fields and businesses.

And the messages:

Team leads:

• Arvin Kamberi, DiploFoundation, Serbia

Team members:

• Natalia Filina, Russian Federation
• Kliti Lulaj, Albania
• Tanja Pavleska, Laboratory for Open Systems and Networks, Jozef Stefan Institute, Slovenia
• Enis Karaarslan, Internet Society Turkey
• Amali de Silva-Mitchell, United Kingdom
• Cătălin Vrabie, National University of Political Studies and Public Administration, Romania
• Blerton Abazi, University for Business and Technology, Kosovo*
• Sergo Karakozov, IT Development Center, Georgia

Contact points:

• Sorina Teleanu (Executive Committee member)
• Nikoleta Krstić (intern)