Spätestens seit der Veröffentlichung von ChatGPT ist Künstliche Intelligenz (KI) in aller Munde. KI ist aber mehr, als der Hype hinter ChatGPT vermuten lässt. Sie zielt darauf ab, menschliches Entscheidungsverhalten zu automatisieren und verändert nicht mehr nur einzelne Branchen, sondern die Wirtschaft und den Arbeitsmarkt als Ganzes. Für Unternehmen und Mitarbeiter ist es somit wichtig, eigene KI-Kompetenzen aufzubauen, um den Wandel aktiv mitzugestalten.

Der Impulsvortrag von Prof. Dr. Patrick Glauner (TH Deggendorf) stellt die wichtigsten Konzepte und konkrete Anwendungen von KI anhand verschiedener Branchen vor, räumt mit weitverbreiteten Vorurteilen auf und gibt Handlungsempfehlungen.

Im Anschluss besteht bei einer moderierten Diskussion und einem geselligen Get-together ausreichend Zeit für Fragen und fachlichen Austausch.

What if a machine would determine who gets an organ and who does not? Can Artificial Intelligence be fair? Dr. Jana Schaich Borg has spent 24 years researching and understanding how individuals make social decisions and how they impact others. For the past seven years, her focus has been on the interactions of humans and AI. There are two major questions here: How could we build morality into an AI system, so it can interact with society in a way that feels aligned with our human values?

And how do we make sure we as a society employ AI in a way that is in line with our values?

Beyond these big scientific and societal questions, the conversation with Dr. Schaich Borg will dive into the threats and opportunities that arise from AI, the prototypes of moral machines she is working on in her lab and the role women play and must play in shaping a future, where more and more decisions will be made by AI-systems.

Diagnosing diseases, creating artwork, offering companionship, analyzing data, and securing our infrastructure—artificial intelligence (AI) does it all. But it does not always do it well. AI can be wrong, biased, and manipulative. It has convinced people to commit suicide, starve themselves, arrest innocent people, discriminate based on race, radicalize in support of terrorist causes, and spread misinformation. All without betraying how it functions or what went wrong.
A burgeoning body of scholarship enumerates AI harms and proposes solutions. This Article diverges from that scholarship to argue that the heart of the problem is not the technology but its creators: AI engineers who either don’t know how to, or are told not to, build better systems. Today, AI engineers act at the behest of self-interested companies pursuing profit, not safe, socially beneficial products. The government lacks the agility and expertise to address bad AI engineering practices on its best day. On its worst day, the government falls prey to industry’s siren song. Litigation doesn’t fare much better; plaintiffs have had little success challenging technology companies in court.
This Article proposes another way: professionalizing AI engineering. Require AI engineers to obtain licenses to build commercial AI products, push them to collaborate on scientifically-supported, domain-specific technical standards, and charge them with policing themselves. This Article’s proposal addresses AI harms at their inception, influencing the very engineering decisions that give rise to them in the first place. By wresting control over information and system design away from companies and handing it to AI engineers, professionalization engenders trustworthy AI by design. Beyond recommending the specific policy solution of professionalization, this Article seeks to shift the discourse on AI away from an emphasis on light-touch, ex post solutions that address already-created products to a greater focus on ex ante controls that precede AI development. We’ve used this playbook before in fields requiring a high level of expertise where a duty to the public welfare must trump business motivations. What if, like doctors, AI engineers also vowed to do no harm?