European policy makers are discussing Artificial intelligence (AI). As its fast development as well as unknown impact raises certain issues. Will AI increase unemployment drastically? How will AI redefine management strategies and make businesses smarter? Is AI the solution to keep the European economy competitive and ensure growth?

However, AI is already part of our everyday life. And there are still open questions, for example, how does AI impinge on data protection? According to a public consultation conducted by the European Parliament Research Service in 2017, 52% strongly agree or agree that AI is a threat to privacy. In addition, there are also concerns about data ethics and liability.

Join us to explore the following topics during a high-level discussion:

– What role can AI play to make European companies more competitive?
– Will AI lead to more unemployment as it could make human labour obsolete?
– How can AI be applied for smarter and more efficient investment decisions?
– How reliable and accurate is AI for data mining?
– What are the benefits of using AI to process behavioural data for risk and advertising analysis?
– Does AI profiling of personal data damage data protection?
– How traceable and transparent are decisions based on AI?

We’re starting our event on in a few minutes. Joining us are MEP , Vanagt co-founder , Laurențiu Vasiliu CEO and lecturer Brian Davis. Moderation by

MEP discusses the EP report on robotics and the worries about jobs replacement. Some experts claim that enormous number of jobs will disappear but ms. Delvaux doesn’t believe that. However, wealth distribution from automated jobs is a valid political question

At journalist Jorge Valero’s q, MEP responded that she fears less that robots will dominate humans or of an impending transhumanist future. She changed her opinion for the better while working on the robotics file & identified the need to inform ppl.

Artificial Intelligence: Another bubble or a game change? Interesting discussion

Brian Davis “If we look at research, it is very preoccupied with predictibility but not with transparency.” “There are systems there that are taking decisions but we don’t know how they’re doing it.”

Artificial Intelligence: bubble or game changer ?

Laurențiu Vasiliu starts with an that proves how are brains are fallible. The second slide proves how limited we are in understanding financial market signals.

Laurențiu Vasiliu “about losing jobs to#AI, the solution would be for schools to be proactive and prepare students with digital skills for the future”

discusses the ethically tricky situations of the use by e-courts by certain service providers in the Netherlands that use a fast-track, fully automated system of settling non-paid bills.

The floor is open to questions and comments. A very interesting intervention mentioned Ali Express sponsoring a free bike sharing system that collects data from the users and uses it in e-commerce.

Laurențiu Vasiliu CEO compared the financial market with a battleground where weapons are in fact automation systems that are getting more and more complex. The London market doesn’t exist physically anymore, it is all automated.

. Vanagt: “everybody knows that nowadays nothing is for free. If you don’t pay for the product then you are the product. But now you buy a product and you’re still the product”.

Labour economist and researcher Ian Kleibrink makes a plea for changing the narrative about , and helping people embrace the change by putting the spotlight on the jobs and benefits that Artificial Intelligence brings.

Adaptation to automation and AI means fundamentally changing the educational system, claims MEP , who has been education minister in France for years. How to do that change, however, is not straightforward.

“We need to make a distinction between what algorithms do and what we make the algorithms do for us.”

The event ended with comments about the ethic consequences and future evolution of social media and an invitation to continue this discussion. We want to thank all speakers and participants to this debate on !



Big data has the potential to advance collective decision-making processes. For example, Data mining has become increasingly popular to obtain a better understanding of what is relevant to the public. Furthermore sentiment analysis evaluates public opinion and can be applied to monitor and assess the effectiveness of policies.

However it can also be challenging to use innovative data-driven approaches for policy making. Having more data doesn’t necessarily lead to more actionable insights and the complex skill sets required for big data analytics pose a particularly acute challenge.

EurActiv organised a workshop to explore the following topics:
– What are the promises and limitations of big data for policy making?
– How can data mining be used to develop a better informed policy?
– What challenges have to be considered with an innovative data-driven policy approach?
– Do policymakers provide adequate legislation for the rising need of data processing?

Join the conversation!
#eaDebates #SSIX_project

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SSIX Workshop – Big Data and Policy Making



Policymakers are showing growing interest for real-time analysis of public opinion and Big Data. From finance to political campaigners, social media have become a primary source of information, especially when it comes to understanding public opinion trends.

However, the potential of social media still needs to be fully exploited. With the explosion of structured and unstructured Big Data, the ability to harness information has become paramount for those who want to successfully use information originating from social media.

On the regulatory side, the European Commission wants to promote the data-driven economy as part of its Digital Single Market strategy. The strategy includes better online access and digitalisation as a driver for growth.

Questions included:
– How can social media and Big Data be used to understand public opinion trends?
– What is the potential for political campaigners? Can we win an election thanks to social media?
– Is there a risk that these data will be misused? What risks for data protection?
– How can the financial sector use social media to make better investment decisions?
– Are policymakers facing the challenge of the growing data-driven economy?

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SSIX Workshop – What future for Big Data mining?