Regulating algorithmic tools in reproductive health: ethical and legal challenges - Takeaways - MDSpire

Regulating algorithmic tools in reproductive health: ethical and legal challenges

  • By

  • Collins Chibueze Anokwuru

  • Moses Ifeatu Nwuzoh

  • Stanley Eneh

  • Ogechi Vinaprisca Ikhuoria

  • Gabriel Chidera Edeh

  • Onyeka Chukwudalu Ekwebene

  • Ephraim Ikpongifono Udokang

  • Francisca Onukansi

  • Gospel Chinaemerem Nwokocha

  • Samson Adiaetok Udoewah

  • May 8, 2026

  • 0 min

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  • 1

    AI and algorithmic tools are increasingly used in reproductive healthcare, enhancing access and decision-making but raising ethical and governance challenges.

  • 2

    Key challenges include limited transparency, risks of bias, privacy concerns, and unclear accountability among developers and clinicians.

  • 3

    Reproductive health is particularly sensitive, influenced by legal, social, and health system constraints, affecting marginalized populations.

  • 4

    Existing AI ethics frameworks often lack specificity for reproductive health, failing to address intersectional and structural vulnerabilities.

  • 5

    A governance-oriented approach integrating Healthcare 5.0 and reproductive justice is proposed to ensure equity, autonomy, and accountability.

Original Source(s)

Regulating algorithmic tools in reproductive health: ethical and legal challenges

  • by Collins Chibueze Anokwuru, Moses Ifeatu Nwuzoh, Stanley Eneh, Ogechi Vinaprisca Ikhuoria, Gabriel Chidera Edeh, Onyeka Chukwudalu Ekwebene, Ephraim Ikpongifono Udokang, Francisca Onukansi, Gospel Chinaemerem Nwokocha, Samson Adiaetok Udoewah

  • May 8, 2026

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