Mitigating Risks in International Data Flows: Lessons from the GDPR for AI Regulation
Data transfers are an issue of political, regulatory and judicial activity under the GDPR. The regulation of transfers is embedded in the language of controllers and processers. But the reality of the digital economy is a tangled web of data flows, with consumer expectation of 24/7 support and service continuity meaning global support and staffing is the norm. With European regulators’ low risk appetite towards data transfers, this panel will discuss how to maintain continuity of service whilst mitigating risk over current norms. And with AI involving similar complexity – from training data developers, to application designers, to business deploying those applications – the panel will consider the lessons arising from the GDPR and data governance more generally.
• What are the current realities of data transfers?
• How can continuity of service be maintained whilst mitigating risk over current norms? What are the accountability lessons arising from the GDPR and data governance regarding data transfers?
• How can these lessons be transferred to AI?
Organised by TikTok
Moderator Eugene McQuaid, TikTok (BE)
Speakers Jade Nester, TikTok (UK); Jon Renshaw, NCC Group (UK), Estelle Massé, European Commission (EU)
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