In a world where artificial intelligence (AI) is increasingly permeating various aspects of life, companies face pressing questions: How can AI technologies be utilized to make work easier without creating risks like data privacy issues or loss of control? Franziska Peters, Communications Manager at AI Grid, interviewed Pauline M. Kuss, who, as a member of AI Grid and as part of her PhD research on sociotechnical AI governance at Freie Universit\u00e4t Berlin, explores these challenges. Pauline brings an interdisciplinary perspective to the complex questions surrounding AI in practice.<\/p>\n\n\n\n
Insights from Research: What is Organizational AI Governance?<\/strong><\/p>\n\n\n\n \u201cI work on organizational AI governance,\u201d Pauline begins. \u201cThis means I look at how companies integrate AI into their processes and products, focusing on the risks that arise and how to mitigate them.\u201d Her goal is to develop a framework that serves as a guide for companies to use AI safely and efficiently.<\/p>\n\n\n\n She offers an example to illustrate the challenges: \u201cImagine a recruitment company using freely available models like ChatGPT. Employees upload r\u00e9sum\u00e9s into the system without realizing this could lead to data privacy issues. At the same time, there\u2019s the risk of the system delivering inaccurate results. Companies need strategies to enable the use of such systems while minimizing risks like data privacy breaches.\u201d<\/p>\n\n\n\n AI in Medicine: Increasing Efficiency with Challenges<\/strong><\/strong><\/p>\n\n\n\n AI offers many benefits but also raises complex questions. \u201cEspecially in medicine, we see how AI systems could relieve doctors and nursing staff,\u201d Pauline explains. \u201cFor example, these systems can analyze X-rays and highlight abnormalities, enabling medical staff to focus on specific areas. This saves time and improves diagnostics.\u201d<\/p>\n\n\n\n But how can we ensure these systems are used responsibly? \u201cControl must always remain with humans. It\u2019s essential to understand how these systems work and to intervene when errors occur,\u201d she emphasizes. \u201cIdeally, AI takes over monotonous tasks, freeing people for creative and meaningful work.\u201d<\/p>\n\n\n\n \u201cIn hospitals, for instance, AI systems could simplify documentation work,\u201d Pauline says. \u201cHowever, these systems must be intuitive and avoid creating additional burdens. Otherwise, frustration arises instead of relief.\u201d<\/p>\n\n\n\n \u201cTechnology is Never Neutral\u201d<\/strong><\/strong><\/p>\n\n\n\n Her research extends far beyond technical aspects, encompassing ethical and societal issues. \u201cTechnology is never neutral,\u201d Pauline notes. \u201cIt shapes social structures and individual identities. A key question is how we can ensure that people retain control and feel valued in their work.\u201d<\/p>\n\n\n\n A central theme of her work involves foundational models like GPT. These large AI systems are developed by a few companies and form the basis for many applications. \u201cTraining such models is resource-intensive and expensive, meaning only a few players dominate the market. At the same time, companies using these models often have little insight into how they work. This shifts responsibility and control,\u201d she explains.<\/p>\n\n\n\n From Data Protection Law to Interdisciplinary Research<\/strong><\/strong><\/p>\n\n\n\n Pauline\u2019s journey into research began with a degree focusing on privacy and data protection law. \u201cDuring my undergraduate studies, I learned a lot about the legal aspects of data but wanted to understand the technical side as well,\u201d she recalls. She pursued a master\u2019s in data science, gaining insights into neural networks and deep learning, while simultaneously completing a second master\u2019s in technology law to deepen her understanding of AI regulation.<\/p>\n\n\n\n \u201cThis interdisciplinary perspective allows me to connect legal, technical, and ethical aspects,\u201d Pauline says. \u201cThis is particularly important when discussing AI because these technologies deeply influence our society.\u201d<\/p>\n\n\n\n The Ideal Relationship Between Humans and AI<\/strong><\/strong><\/p>\n\n\n\n When asked what the future relationship between humans and AI should look like, Pauline has a clear vision: \u201cControl must always remain with humans. AI should support us, not dictate to us. If we manage to make these systems transparent and secure, we can fully harness their potential.\u201d<\/p>\n\n\n\n She also sees companies as having a responsibility: \u201cThey need to provide their employees with the right tools and training to critically assess and use these systems responsibly.\u201d<\/p>\n\n\n\n Personal Exchange Through the AI Grid Network<\/strong><\/p>\n\n\n\n Lastly, Pauline talks about her experience at a Science & Innovation Tour organized by AI Grid with a delegation of PhDs from the Zurich network. \u201cIt was incredibly enriching to be able to exchange ideas with other fellow researchers. It gives you the chance to gain new perspectives and see your own work in a wider context,\u201d she explains. She was particularly impressed by the visit at IBM Research and Disney Research. \u201cThe different approaches and company cultures demonstrated how versatile AI can be applied.\u201d<\/p>\n\n\n\n <\/p>","protected":false},"excerpt":{"rendered":" In einer Welt, in der K\u00fcnstliche Intelligenz (KI) immer mehr Lebensbereiche durchdringt, stehen Unternehmen vor dr\u00e4ngenden Fragen: Wie k\u00f6nnen KI-Technologien so eingesetzt werden, dass sie die Arbeit erleichtern, ohne Risiken wie Datenschutzprobleme oder Kontrollverlust zu schaffen? Franziska Peters, Communications Managerin bei AI Grid, hat Pauline M. Kuss interviewt, die als Mitglied von AI Grid und […]<\/p>\n","protected":false},"author":3,"featured_media":5663,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"iawp_total_views":129,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-5656","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-interview"],"yoast_head":"\n