Using AI to Predict Adult Maltreatment
Source: APS Technical Assistance Resource Center
APS agencies are collecting and reporting more and more data on adult maltreatment, yet very little research has been done to date to explore how this data could inform predictive risk factors associated with maltreatment. This webinar describes the purpose and results of an ACL-funded research project to assess opportunities for using artificial intelligence, machine learning, and other “big data” tools to identify individuals who are at increased risk for abuse, neglect, and exploitation. In particular, the results of a literature review on risk and protective factors will be shared; a scan of how related fields (e.g., child welfare, healthcare, and criminal justice) use machine learning and predictive analytics; the methodology and results of the machine learning predictive analytic approach to identify locations with a high incidence of abuse, neglect, and exploitation. The webinar concludes with implications for research, policy, and practice as they relate to the the long- and short-term goals of early identification and prevention of adult maltreatment.
Topics: Mandatory Reporting, Overview/General, Prevention/Intervention, Screening/Assessment
Intended Use: Self-directed Learning
Audience: Advocates, Community, Social Services
Level: Basic, Intermediate