Responsible AI Principles in Product Management Practices
Author
Khan, Mudassir Akber
Term
4. Semester
Publication year
2024
Submitted on
2024-07-31
Pages
92
Abstract
As AI becomes common in software products, product managers play a central role in ensuring the technology is developed responsibly. Ethical considerations are gaining importance, yet there is little guidance on how to integrate responsible AI into product management. This study addresses two questions: How do organizations currently integrate responsible AI into product management? And what challenges do they face? We combine a semi-systematic review of the literature with a conceptual framework that links principles of Responsible Innovation with ISPMA’s software product management framework. We also conducted 20 semi-structured interviews with AI product managers, consultants, and researchers working on responsible AI, and analyzed them thematically to capture experiences and perspectives. Findings show that building ethical AI products requires understanding market needs for ethical values, embedding responsible AI into practices such as product roadmapping and lifecycle management, and conducting continuous performance and risk assessments. Effective stakeholder coordination and thorough documentation are also essential to meet ethical standards, comply with regulations, and align with user expectations. The study identifies key barriers: added overhead and cost, unrealistic customer expectations, complexity, skills shortages, and neglect in early stages. Promising strategies include automated risk assessments, clear customer communication, going beyond minimum regulatory requirements, forming dedicated responsible AI teams, adopting holistic approaches across the organization and product lifecycle, and engaging in external collaboration. Overall, the study offers practical guidance for AI product managers and can inform researchers and policymakers working to develop better rules and policies for safer AI products.
Efterhånden som AI bliver udbredt i softwareprodukter, får produktledere en central rolle i at sikre, at teknologien udvikles ansvarligt. Etik fylder mere, men der mangler viden om, hvordan ansvarlig AI konkret integreres i produktledelse. Dette studie adresserer to spørgsmål: Hvordan integrerer organisationer i dag ansvarlig AI i deres produktledelse? Og hvilke udfordringer møder de? Studiet bygger på en semi-systematisk litteraturgennemgang og en konceptuel ramme, der kobler principper for ansvarlig innovation med ISPMA’s ramme for softwareproduktledelse. Derudover er der gennemført 20 semistrukturerede interviews med AI-produktledere, konsulenter og forskere inden for ansvarlig AI. Interviewene er analyseret tematisk for at indfange erfaringer og perspektiver. Resultaterne viser, at det er afgørende at forstå markedets behov for etiske værdier, indarbejde ansvarlig AI i praksisser som planlægning af produktets udviklingsvej (roadmapping) og styring af produktets livscyklus, samt løbende vurdere ydeevne og risici. Effektiv koordinering mellem interessenter og grundig dokumentation er ligeledes vigtig for at leve op til etiske standarder, lovkrav og brugernes forventninger. Studiet peger også på centrale barrierer: øget overhead og omkostninger, urealistiske kundeforventninger, kompleksitet, mangel på kompetencer og manglende opmærksomhed i de tidlige faser. Mulige greb omfatter automatiserede risikovurderinger, tydelig kundekommunikation, at tænke ud over minimumskrav i regulering, etablering af dedikerede teams for ansvarlig AI, holistiske tilgange på tværs af organisation og livscyklus samt eksternt samarbejde. Samlet giver studiet praktiske indsigter til AI-produktledere og kan hjælpe forskere og beslutningstagere med at udvikle mere velfunderede regler og politikker for sikrere AI-produkter.
[This apstract has been rewritten with the help of AI based on the project's original abstract]
Keywords