AI and Ethics: Why digital responsibility is becoming a top priority
Artificial intelligence has long since moved out of the innovation lab and into the day-to-day lives of businesses, public administrations and society. It screens job applications, assists with medical diagnoses, controls autonomous vehicles and writes texts. Yet the more commonplace AI becomes, the more pressing a question arises that can no longer be delegated to IT departments:
How much responsibility can and must we entrust to machines – and where does human responsibility lie?
This is precisely where digital ethics comes in. It is not a brake on innovation, but rather the compass that steers technological development in such a way that it builds trust rather than causing harm. Five voices from the German-speaking world impressively demonstrate why this topic belongs on every conference stage and in every boardroom.
AI knows no morality – the call for global regulation
Hardly anyone sums up the limits of technology as clearly as Prof. Dr Peter G. Kirchschläger, Professor of Theological Ethics and Head of the Institute for Social Ethics at the University of Lucerne, as well as a visiting professor at the ETH AI Centre. He deliberately avoids the term ‘artificial intelligence’, preferring instead to speak of ‘data-based systems’ – because the term ‘intelligence’ suggests a comparability with human thought that simply does not exist. His central thesis is that machines are not capable of morality. They can neither recognise what is ethically right or wrong, nor do they bear responsibility for their decisions.
For Kirchschläger, this leads to a clear demand: ethics must be integrated into development processes from the outset, not merely introduced at the end as a supervisory body. Furthermore, he advocates for human rights-based, global regulation of the entire life cycle of AI – enforced by an International Agency for Data-Based Systems (IDA) within the UN, modelled on the International Atomic Energy Agency. His lectures are aimed equally at businesses, political institutions and NGOs, and combine academic depth with the very specific questions facing executives today.
Responsibility as a factor for success: the business perspective
Whilst Kirchschläger examines the regulatory aspect, Benjamin Bargetzi translates the topic into the language of business and leadership. The Swiss neuroscientist, entrepreneur and founder of ACIT Global advises Fortune 500 companies and policy-makers on future-proof business models. His keynote speeches on ‘Responsibility, Ethics & Artificial Intelligence’ demonstrate why fairness, transparency and data protection are no longer merely optional extras, but are decisive factors in shaping reputation and social acceptance.
In doing so, Bargetzi offers a perspective that is rarely articulated so incisively: AI ethics is also a matter of neuroscience. The way technology influences our attention, our decisions and our behaviour cannot be captured by legal frameworks alone – it requires an understanding of how digital systems affect the human brain. His message to businesses: those who design AI are not just designing software, but shaping society – and that is a responsibility that extends far beyond code.
Intersectionality and justice in algorithmic systems
Jesse de Jesus de Pinho Pinhal, a philosopher, technologist and researcher working at the intersection of ethics and artificial intelligence, adds a crucial perspective. With a background in computer science, physics and philosophy, as well as a PhD on the ethics of AI dialogue agents, Jesse explores what fair and intersectional AI might look like – and in doing so, brings uncomfortable truths to light: Machine learning is ‘biased by design’. The datasets used to train systems reflect human, often unconscious, biases and can reproduce existing discrimination rather than dismantling it.
Jesse’s talks on diversity, justice and governance in AI development – ranging from fair AI and the metaverse to Web 3.0 and decentralisation – add a dimension to the ethical debate that is often overlooked in purely technical or economic discussions: who actually decides which data, which perspectives and which voices are incorporated into AI systems?
AI fluency rather than buzzwords: critical thinking as a key competence
As a (neuro)scientist, philosopher and professor of Strategy, AI & Ethics, Prof. Dr Dr Yoshija Walter combines several disciplines to form a unique perspective on the subject. As founder of the AI Management Institute (AIMI) and a member of Swiss higher education ethics committees, he operates at the intersection of academic research, business consultancy and international expert panels.
Walter’s key message: AI is changing not only markets but also people – often unnoticed, for example through psychological mechanisms such as what is known as ‘AI anthropomorphic bias’, whereby we attribute human characteristics to machines. Rather than relying on prompt engineering tricks, he focuses on a deeper goal: critical thinking and ‘AI fluency’ as the skills that people and organisations need to remain capable of acting and exercising sound judgement in the age of AI. His approach is deliberately level-headed – he aims neither to glorify nor to demonise AI, but rather to open up avenues for thought on how to use it responsibly.
Digital ethics as a key political issue for the future
Dr Wolfgang Gründinger, a futurist, author and one of Germany’s most outspoken thought leaders, bridges the gap to the socio-political dimension. Through talks such as ‘Human, Morality, Machine – Artificial Intelligence, Digital Ethics and a New Humanity’, he makes abstract technological developments accessible to a wide audience. Gründinger, who has advised, amongst others, the Bundeswehr’s Cyber Innovation Hub and the Federal Association for the Digital Economy, consistently links AI ethics to intergenerational justice: what rules do we set today for technologies whose consequences will be borne by future generations?
His talks are deliberately relaxed and pragmatic – no scaremongering, but concrete examples that inspire action. In this way, he reaches audiences who are often hard to engage with in the abstract debate on regulation: the business community, the political sphere and civil society alike.
Digital ethics is a team effort
What unites these five perspectives is the conviction that digital ethics is not an issue that can be resolved by technical means alone. It requires the philosophical depth of Peter G. Kirchschläger, the practical business acumen of Benjamin Bargetzi, the focus on justice and diversity of Jesse de Jesus de Pinho Pinhal, the interdisciplinary strategic expertise of Yoshija Walter and the socio-political perspective of Wolfgang Gründinger – to shape AI in such a way that it serves humanity, and not the other way round.
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