SOCIAL ALGORITHMS IN THE DIGITAL AGE: ARTIFICIAL INTELLIGENCE AND SOCIAL WORK

Abstract

Artificial intelligence is software and hardware that imitates human intelligence and can improve itself with the information it obtains. Artificial intelligence has the potential to create new problems and solutions in life dynamics. The social work is in an effort to respond to this transformation. Focusing on various aspects of the interaction between artificial intelligence and social work, this study aims to provide a critical perspective on how social work interventions will be affected, and what the potential opportunities and risks may be. Among the opportunities in artificial intelligence-based social work practices are easily accessible, cost-effective, fast, and revised studies depending on the needs of the person. Risks include damage to the therapeutic relationship between the social worker and the client system, failure to develop sufficient and high-quality data feed for machine learning, ethical problems, and reduced need for social workers. As a result, it is recommended to develop artificial intelligence applications that are sensitive to both the professional stance of the social work and the rights of the client system.

Keywords

• Artificial intelligence
• Technology
• Machine learning
• Social work

DİJİTAL ÇAĞDA SOSYAL ALGORİTMALAR: YAPAY ZEKÂ VE SOSYAL HİZMET

Abstract

Yapay zekâ, insan zekâsını taklit eden ve elde ettiği bilgilerle kendini geliştirebilen yazılımlar ve donanımlardır. Yapay zekâ yaşam dinamiklerinde yeni sorunlar ve çözümler yaratma potansiyeli taşımaktadır. Sosyal hizmet mesleği bu dönüşüme yanıt verme çabası içerisindedir. Yapay zekâ uygulamaları ve sosyal hizmet arasındaki etkileşimin çeşitli yönlerine odaklanan bu çalışma, sosyal hizmet müdahalelerinin nasıl etkileneceğine, potansiyel fırsatların ve risklerin neler olabileceğine dair tartışmalara eleştirel bir bakış açısı sunma amacı taşımaktadır. Yapay zekâya dayalı sosyal hizmet uygulamalarındaki fırsatlar arasında kolay erişilebilir, maliyet etkili, hızlı, kişinin ihtiyacına bağlı olarak revize edilebilen çalışmalar bulunmaktadır. Riskler arasında ise sosyal hizmet uzmanı ile müracaatçı sistemi arasındaki terapötik ilişkinin zarar görmesi, makine öğrenmesi için yeterli ve kaliteli veri beslemenin geliştirilememesi, etik sorunlar ve sosyal hizmet uzmanlarına duyulan ihtiyacın azalması bulunmaktadır. Sonuç olarak hem sosyal hizmet mesleğinin profesyonel duruşuna hem de müracaatçı sisteminin sahip olduğu haklara duyarlı olan yapay zekâ uygulamalarının geliştirilmesi önerilmektedir.

Keywords

• yapay zeka
• teknoloji
• makine öğrenmesi
• sosyal hizmet

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