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AI Adoption - Drive Business Value and Organizational Impact
Overview
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Explore the intersection of artificial intelligence, corporate accountability, and democratic governance in this 44-minute conference talk from GOTO Copenhagen 2025. Examine how AI systems can be designed with legitimacy and responsibility as core requirements, challenging the common assumption that AI is inherently opaque by drawing parallels to complex human institutions that function effectively despite their complexity. Discover real-world examples of AI failures and their consequences, analyze the growing polarization and inequality reminiscent of the late 19th century, and investigate who bears responsibility for implementing necessary changes. Learn about EU digital regulation frameworks and the authority of the European Union to regulate AI systems globally. Understand how DevOps practices and good systems engineering can deploy AI for increased transparency rather than opacity. Gain insights into the relationship between robots and humans, emphasizing that artificial systems are tools rather than peers, and explore how proper design requirements can create more accountable and democratically legitimate AI systems.
Syllabus
00:00 Intro
06:46 When AI fails: Real-world examples
11:28 Polarization & inequality like it's 1899
17:18 How do we change? Who's responsible?
20:16 EU digital regulation
27:20 Does the EU have a right to regulate AI?
36:39 DevOps
41:30 Robots are not our peers
42:22 Summary
43:20 Outro
Taught by
GOTO Conferences