Winning with ethics: Why ethical AI leads to success
In the long term, AI can only be successful and gain social acceptance if it is developed and used in an ethically responsible manner. Lukas Madl illustrated the risks of “high-impact innovations” when ethical principles are neglected, using the story of Theranos and current examples such as AI-supported application tools and surveillance technologies. He emphasized that AI systems deeply influence human decision-making processes and must therefore be designed with particular care—in terms of fairness, transparency, and human dignity. At the end of his presentation, he introduced a structured risk assessment process that helps companies implement AI responsibly—as an investment in trust, efficiency, and sustainable success.
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