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:phd-defence-i-baer@8F96275E-9F55-4B3F-A143-836282E12573 CREATED:20260920T161544 LOCATION: SUMMARY:PhD defence I. Baer X-ALT-DESC;FMTTYPE=text/html:

Underneath the surfa ce of managing AI

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

Although AI is increas ingly being used in both public and private organizations, many proje cts fall short of expectations or lead to unexpected consequences. Ba er shows that these problems stem not so much from technical shortcom ings, but from how organizations manage and integrate AI into their o perations.

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

Not a one-tim e implementation project
An important conclusion is that managing AI is not a one-time implementation project, but an ongoing process. Organizations must continually weigh technological opportuni ties against organizational needs and societal consequences. AI syste ms regularly turn out to create new opportunities, but also cause unf oreseen effects that only become visible during use.

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

Careful ly management
As AI is increasingly used in decision-maki ng, for example within government organizations, job placement and se rvice delivery, there is a growing need to carefully manage the impac t of this technology. Baer emphasizes that investments must go not on ly to software and algorithms, but also to training, governance and a n ongoing dialogue between technical experts and users.

Without such attention, AI systems risk leading to ambiguity, new risks or u nwanted effects for workers and citizens. Baer therefore argues for a broader approach to AI that does not separate technology from the pe ople, organizations and social context in which it operates.

Th e insights provide tools for managers, policymakers and technology pr ofessionals to deploy AI more effectively and responsibly. In doing s o, organizations can better capitalize on the opportunities of AI, wh ile simultaneously taking into account public values, work practices and societal interests.

Learn more about the dissertation

DESCRIPTION: Underneath the surface of managing AI

Success ful deployment of AI is mostly about people, collaboration and adapta tion

Organizations that want to successfully deploy arti ficial intelligence (AI) should focus less on technology and more on how AI is embedded in daily work. This is according to Ines Baer's re search on the practice of AI management within organizations.Although AI is increasingly being used in both public and private organizatio ns, many projects fall short of expectations or lead to unexpected co nsequences. Baer shows that these problems stem not so much from tech nical shortcomings, but from how organizations manage and integrate A I into their operations.Baer examined how organizations develop, impl ement and align AI systems with their goals, work processes and value s. In doing so, she used both literature review and extensive field r esearch within a public employment organization.Not a one-tim e implementation project
An important conclusion is that managing AI is not a one-time implementation project, but an ongoing process. Organizations must continually weigh technological opportuni ties against organizational needs and societal consequences. AI syste ms regularly turn out to create new opportunities, but also cause unf oreseen 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 management< /strong>
As AI is increasingly used in decision-making, for exampl e within government organizations, job placement and service delivery , there is a growing need to carefully manage the impact of this tech nology. Baer emphasizes that investments must go not only to software and algorithms, but also to training, governance and an ongoing dial ogue between technical experts and users.Without such attention, AI s ystems risk leading to ambiguity, new risks or unwanted effects for w orkers and citizens. Baer therefore argues for a broader approach to AI that does not separate technology from the people, organizations a nd social context in which it operates.The insights provide tools for managers, policymakers and technology professionals to deploy AI mor e effectively and responsibly. In doing so, organizations can better capitalize on the opportunities of AI, while simultaneously taking in to account public values, work practices and societal interests.Learn more about the dissertation END:VEVENT END:VCALENDAR