As beloved partners of the must-see event in Nantes, the Web2day Festival, we have been amazed by M4D’z presentation regarding the privacy issues involved in designing an application, which has left such an impression that he inspired this post.
The Web2day Festival gathers international startups, large multi-nationals, programmers, influencers, investors and many web-technology enthusiasts. For three intensive days, once a year, this festival holds numerous high tech presentations and interactive sessions. M4D’z presentation was one of them and I hope this post will spread his words as humbly as possible.
Considering recent events (Cambridge Analytica’s scandal & GDPR), privacy is a hot topic right now. Integrating personal data protection tools has become an urgent matter, which led to an increasing number of research projects looking into internet privacy and ubiquitous computing.
Privacy by design refers to a set of principles that aims to mitigate privacy concerns and achieve data protection compliance all along the development process. Given that these principles remain vague and include open questions on their application, the community has spread out guidelines and recommendations.
Indeed, the key challenge is how to implement ‘privacy by design’. To summarise, this consists of applying assessments all along the process: at the design stage, development stage, the deployment stage and finally when operating.
Privacy by default refers to the fact that once a product or service has been released to the public, the strictest privacy settings should by applied by default. This means that the end user should not require any manual input.
Data protection is therefore a key part of technological development, and we are still running out of concrete implementation guides in which to apply the expected changes. This may induce a significant culture change for many organisations.
While this is not currently solved, another important topic that might require our attention in a near future, especially considering the major economic issues it involves, is: how to assess the transparency of algorithmic systems.
Another challenge for researchers to explain, is how to trace algorithms’ reasoning, how to measure it.
Do you have any ideas for these new challenges?
Emilie, Consultant, Leyton France