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.
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Ethics & Privacy by Design
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Developing, Creating Or Purchasing Technology.
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.
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