Nội dung được dịch bởi AI, chỉ mang tính chất tham khảo
Quyền không bị lập hồ sơ AI dựa trên dữ liệu công khai—Quyền riêng tư và sự khác biệt của lập hồ sơ AI
Tóm tắt
Dữ liệu từ mạng xã hội có tiềm năng lớn trong việc dự đoán các tình trạng sức khỏe liên quan. Các nghiên cứu gần đây cho thấy rằng các mô hình học máy có thể dự đoán chính xác trầm cảm và các tình trạng sức khỏe tâm thần khác dựa trên ảnh Instagram và Tweet. Trong bài viết này, tác giả lập luận rằng các cá nhân nên có quyền sui generis để không bị lập hồ sơ AI dựa trên dữ liệu công khai mà không có sự đồng ý rõ ràng và thông báo. Bài viết (1) phát triển ba lý lẽ cơ bản cho quyền bảo vệ dữ liệu cá nhân dựa trên các khái niệm về kiểm soát xã hội và sự kỳ thị, (2) lập luận rằng một số đặc điểm của lập hồ sơ AI làm cho các cá nhân dễ bị tổn thương hơn trước kiểm soát xã hội và sự kỳ thị so với các loại xử lý dữ liệu khác (sự khác biệt của lập hồ sơ AI), (3) xem xét một loạt lý do khác nhau cho và chống lại việc bảo vệ các cá nhân khỏi việc lập hồ sơ AI dựa trên dữ liệu công khai, và cuối cùng (4) lập luận rằng Quy chế Bảo vệ Dữ liệu Chung của EU không đảm bảo rằng các cá nhân có quyền không bị lập hồ sơ AI dựa trên dữ liệu công khai.
Từ khóa
#dữ liệu mạng xã hội #lập hồ sơ AI #quyền riêng tư #quy định bảo vệ dữ liệu #kiểm soát xã hội #sự kỳ thịTài liệu tham khảo
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