Ref. Ares(2022)5039016 - 11/07/2022
Meeting with
, Microsoft
18 May 2022
That is why the AI Act mainly focuses on high-risk systems. This is innovation-friendly
because it addresses the real risks of the technology, while shielding systems that do not
pose high risks to safety or fundamental rights from diverging national regulations.
To further support excellence and innovation, the Commission will invest at least EUR 1
billion per year in AI from the Horizon Europe and the Digital Europe programmes in the
period 2021–2027.
The objective is to increase public and private investment in AI gradually to a total of EUR
20 billion per year over the course of this decade.
Negotiations with co-legislators
Microsoft and AI
Microsoft is one of the founding partners of the Partnership on AI (PAI) along with many
other tech giants. PAI is an open platform for discussion and engagement about AI and its
influences on people and society. The vision of the Partnership on AI is a future where AI
empowers humanity by contributing to a more just, equitable and prosperous world.
Microsoft's stated goal is to amplify human ingenuity through AI, while preserving shared
societal values and expectations based on the following six core principles that guide their
approach to responsible AI:
Fairness: AI systems should treat all people fairly.
Reliability & Safety: AI systems must be designed to operate within clear parameters and
undergo rigorous testing to ensure that they respond reliably and safely to unanticipated
situations and do not evolve in ways that are inconsistent with original expectations.
People should play a critical role in making decisions about how and when AI systems are
deployed.
Privacy and security: AI systems must comply with privacy laws that regulate data
collection, use and storage, and ensure that personal information is used in accordance
with privacy standards and protected from theft.
Inclusiveness: AI systems should empower everyone and engage people. AI solutions
must address a broad range of human needs and experiences through inclusive design
practices that anticipate potential barriers in products or environments that can
unintentionally exclude people.
Transparency: AI systems should be understandable. Providing contextual information
about how AI systems operate so that people understand how decisions are made and
can more easily identify potential bias, errors and unintended outcomes.
Accountability: People who design and deploy AI systems must be accountable for how
their systems operate. Accountability norms for AI should draw on the experience and
practices of other areas, such as healthcare and privacy, and be observed both during
system design and in an ongoing manner as systems operate in the world.
Topics for discussion
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Meeting with
, Microsoft
18 May 2022
Contacts – briefing contribution:
Topics for discussion
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