Digital Strategies: Managing Sociotechnological Co-Evolution

О курсе

Unravel the mysteries behind the accelerating pace of technological change, exploring mathematical principles and historical precedents behind AI and large learning models (LLM). Gain insights into the dichotomy of continuous innovation versus disruptive breakthroughs, and evaluate their profound impact on industries and economies worldwide. Investigate the societal implications of technological diffusion, analyzing inequalities and proposing viable policy solutions. Navigate the complex terrain of ethical considerations in technological advancement, addressing issues of bias, inclusivity, and AI alignment. Delve into the ethical frameworks guiding innovation, while contemplating the future of human-machine collaboration and the ethical imperatives therein.

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Martin Hilbert

Professor and Chair DE Computational Social Science