Integrating ethical considerations into AI systems is not an option, but a necessity. Ethics in AI goes far beyond data protection; it touches the very foundations on which our society stands. Bias in algorithms, for example, can lead to unfair decisions that directly affect people's lives - such as creditworthiness or hiring decisions.
As leaders and innovators, it is therefore our duty to ensure that our technologies are progressive enough not to lead to regressive outcomes! We need to create transparent, accountable systems that treat everyone fairly and reflect our diverse values.
The question of ethics in AI is not one that we can leave to the technicians alone. It is a challenge for society as a whole that requires an interdisciplinary approach. Philosophers, social scientists, technologists and the general public need to work together to develop policies and practices that are both innovative and inclusive.
We should not see this path as an obstacle, but as an opportunity. An opportunity to develop technologies that are not just intelligent, but smart. Technologies that not only solve problems, but also preserve and promote our humanity. And thus jointly create a framework for “ethical AI”. This will create a foundation for a fairer, more inclusive and more sustainable future.
