How Do I Assess AI Risks?

RISK ASSESSMENT

AI Risks

AI risks are present throughut the entire data life-cycle. From data colection to data deletion, and in data sharing, analysis and storage, risks must be identified and mitigated through data pseudo/anonymisation, data management planning, encryption, ethics due diligence and vetting, data sharing agreements and robust documentation policies.

Only a clear and dedicated focus on AI risks and the active implementation of such mitigation solutions will protect organisations from financial, organisational and reputational crisis.

We are your go-to ethics partner.

Ethics & Privacy by Design

Let’s Work Together From the Start In
Developing, Creating Or Purchasing Technology.

Ethics Oversight.

Embed Ethics with your Organizational Culture
And Data Projects.

EUROPEAN ETHICS PARTNER

In collaboration with the EU Commission, we’ve worked with various organizations on projects to address new technological challenges, security and data protection as well as techno-social impact in the EU and abroad.

HORIZON EUROPE

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