Artificial Intelligence (AI) has recently raised to the point where it has a
direct impact on the daily life of billions of people. This is the result of
its application to sectors like finance, health, digital entertainment,
transportation, security and advertisement. Today, AI fuels some of the most
significant economic and research institutions in the world, and the impact of
AI in the near future seems difficult to predict or even bound. In contrast to
all this power, society remains mostly ignorant of the capabilities,
requirements and standard practices of AI today. Society is becoming aware of
the dangers that come with that ignorance, and is rightfully asking for
solutions. To address this need, improving on current practices of interaction
between people and AI systems, we propose a transparency scheme to be
implemented on any AI system open to the public. The scheme is based on two
main pillars: Data Privacy and AI Transparency. The first recognizes the
relevance of data for AI and is supported by GDPR, the most important
legislation on the topic. The second considers aspects of AI transparency yet
to be regulated: AI capacity, purpose and source. Lacking legislation to build
upon, we design this pillar based on fundamental ethical principles. For each
of the two pillars, we define a three-level display. The first level is based
on visual signs, inspired by traffic signs managing the interaction between
people and cars, and designed for quick and universal interpretability. The
second level uses a factsheet system, providing further detail while still
abstracting the subject. The last level provides access to all available
details. After detailing and exemplifying the proposed transparency scheme, we
define a set of principles for creating transparent by design software, to be
used during the integration of AI components on user-oriented services.Comment: 27 pages, 7 figures, 1 tabl