Artificial Intelligence (AI) tools are becoming essential in various sectors, particularly in drug-related fields, where they predict outcomes and identify risks for early intervention. Despite their benefits, experts caution against their unchecked proliferation, particularly in health contexts. AI increasingly surveils individuals’ drug use behaviors through biometric monitoring, social media analysis, and wearable devices. Such practices raise significant ethical concerns, including potential bias in risk assessments that can lead to adverse consequences like denial of treatment, insurance, or even legal repercussions.
Using AI for public health presents a paradox; while it may aid in harm reduction, it also risks infringing on personal autonomy and privacy. Tools like Drugbot demonstrate the potential for AI in support roles, emphasizing user trust and data transparency. However, the broader implications of AI in monitoring vulnerable populations highlight a need for careful ethical considerations. As the technology evolves, stakeholders must ensure that its deployment supports rather than undermines individual rights and consent.
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