AI can identify intimate partner violence years before people disclose it, but is that safe?
Researchers at MIT and Mass General Brigham have built an AI model that can flag intimate partner violence risk in patients from their medical records.
Advances in AI, particularly in natural language processing and pattern recognition from complex datasets like medical records, enable this type of early detection that was previously impossible.
This development highlights the dual-use potential and ethical complexities of AI in sensitive areas, pushing the boundaries of protective intervention versus privacy and potential for misuse.
The ability to proactively identify severe social issues through passive data analysis introduces new frameworks for healthcare, law enforcement, and social services, alongside significant ethical dilemmas.
- · Healthcare providers
- · Social services agencies
- · AI developers in ethical applications
- · Victims of intimate partner violence
- · Perpetrators of intimate partner violence
- · Privacy advocates
- · Healthcare organizations with weak data governance
Patients at risk of intimate partner violence could receive earlier, potentially life-saving interventions based on AI-driven alerts.
This could lead to a societal debate about the acceptable level of predictive surveillance in healthcare for public safety concerns, potentially influencing legislation.
The technology might expand to other forms of abuse or social harm, raising questions about data ownership, consent, and the balance between security and individual liberty in a digitally monitored society.
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Read at ZDNet — AI