Torsten Stiller
Kill Switch or Moral Compass: Who Programs AI’s Conscience?
#1about 5 minutes
Learning from science fiction and early AI failures
Isaac Asimov's Three Laws of Robotics and an early e-commerce failure illustrate the long-standing challenge of embedding a moral compass in AI.
#2about 2 minutes
Why developers are the programmers of AI's conscience
Every design choice, from data selection to objective functions, embeds human values and biases into AI systems, making developers ethically responsible.
#3about 7 minutes
Real-world examples of AI causing unintended harm
Case studies from Google, Amazon, and Microsoft demonstrate how AI can amplify bias, generate hate speech, and create privacy nightmares without ethical guardrails.
#4about 7 minutes
Seven core principles for building responsible AI systems
A framework for ethical AI development includes fairness, transparency, accountability, privacy, safety, societal benefit, and maintaining human control.
#5about 4 minutes
A practical playbook for integrating ethics into development
Use techniques like pre-mortems, ethical user stories, red teaming, and the 'veil of ignorance' to proactively identify and mitigate ethical risks.
#6about 2 minutes
How the EU AI Act makes ethics a compliance issue
Upcoming regulations like the EU AI Act are transforming ethical AI from an ideal into a legal requirement, especially for high-risk systems.
#7about 3 minutes
Balancing the kill switch with a built-in moral compass
The ultimate goal is to build AI with an inherent moral compass so that the emergency kill switch is a last resort, not the primary safety strategy.
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Defining the core principles of responsible AI
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Embracing developer responsibility in the age of AI
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The collective responsibility to build ethical technology
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A practical framework for building responsible AI
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Integrating ethics and data governance into development
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Considering the ethical responsibility of building AI systems
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