BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Vrije Universiteit Amsterdam//NONSGML v1.0//EN NAME:PhD defence I. Baer METHOD:PUBLISH BEGIN:VEVENT DTSTART:20260615T114500 DTEND:20260615T131500 DTSTAMP:20260615T114500 UID:2026/phd-defence-i-baer@8F96275E-9F55-4B3F-A143-836282E12573 CREATED:20260615T045830 LOCATION:(1st floor) Auditorium, Main building De Boelelaan 1105 1081 HV Amsterdam SUMMARY:PhD defence I. Baer X-ALT-DESC;FMTTYPE=text/html:

Underneath the surface of managing AI

Successful deployment of AI is mostly about people, collaboration and adaptation

Although AI is increasingly b eing used in both public and private organizations, many projects fal l short of expectations or lead to unexpected consequences. Baer show s that these problems stem not so much from technical shortcomings, b ut from how organizations manage and integrate AI into their operatio ns.

Baer examined how organizations develop, implement and alig n AI systems with their goals, work processes and values. In doing so , she used both literature review and extensive field research within a public employment organization.

Not a one-time imple mentation project
An important conclusion is that managin g AI is not a one-time implementation project, but an ongoing process . Organizations must continually weigh technological opportunities ag ainst organizational needs and societal consequences. AI systems regu larly turn out to create new opportunities, but also cause unforeseen effects that only become visible during use.

According to Baer , it is therefore insufficient to draw up an AI strategy in advance a nd then implement it. Success depends on ongoing collaboration betwee n different experts, such as managers, IT specialists, policy makers and end users. In addition, organizations must be prepared to adapt s ystems as circumstances or needs change.

Carefully mana gement
As AI is increasingly used in decision-making, for example within government organizations, job placement and service d elivery, there is a growing need to carefully manage the impact of th is technology. Baer emphasizes that investments must go not only to s oftware and algorithms, but also to training, governance and an ongoi ng dialogue between technical experts and users.

Without such a ttention, AI systems risk leading to ambiguity, new risks or unwanted effects for workers and citizens. Baer therefore argues for a broade r approach to AI that does not separate technology from the people, o rganizations and social context in which it operates.

The insig hts provide tools for managers, policymakers and technology professio nals to deploy AI more effectively and responsibly. In doing so, orga nizations can better capitalize on the opportunities of AI, while sim ultaneously taking into account public values, work practices and soc ietal interests.

Learn more about the dissertation

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Successful deployment of AI is mostly about p eople, collaboration and adaptation

Organizations that want to successfully deploy artificial intelligence (AI) should focus less on technology and more on how AI is embedded in daily work. Thi s is according to Ines Baer's research on the practice of AI manageme nt within organizations. Although AI is increasingly being used in bo th public and private organizations, many projects fall short of expe ctations or lead to unexpected consequences. Baer shows that these pr oblems stem not so much from technical shortcomings, but from how org anizations manage and integrate AI into their operations. Baer examin ed how organizations develop, implement and align AI systems with the ir goals, work processes and values. In doing so, she used both liter ature review and extensive field research within a public employment organization. Not a one-time implementation project< br>An important conclusion is that managing AI is not a one-time impl ementation project, but an ongoing process. Organizations must contin ually weigh technological opportunities against organizational needs and societal consequences. AI systems regularly turn out to create ne w opportunities, but also cause unforeseen effects that only become v isible during use. According to Baer, it is therefore insufficient to draw up an AI strategy in advance and then implement it. Success dep ends on ongoing collaboration between different experts, such as mana gers, IT specialists, policy makers and end users. In addition, organ izations must be prepared to adapt systems as circumstances or needs change. Carefully management
As AI is increasingl y used in decision-making, for example within government organization s, job placement and service delivery, there is a growing need to car efully manage the impact of this technology. Baer emphasizes that inv estments must go not only to software and algorithms, but also to tra ining, governance and an ongoing dialogue between technical experts a nd users. Without such attention, AI systems risk leading to ambiguit y, new risks or unwanted effects for workers and citizens. Baer there fore argues for a broader approach to AI that does not separate techn ology from the people, organizations and social context in which it o perates. The insights provide tools for managers, policymakers and te chnology professionals to deploy AI more effectively and responsibly. In doing so, organizations can better capitalize on the opportunitie s of AI, while simultaneously taking into account public values, work practices and societal interests. Learn more about the dissertat ion Underneath the surface of managing AI END:VEVENT END:VCALENDAR