Analysis of the Role of Compliance Plan in AI Criminal Risk Prevention-Take AI Criminal Risk in Network Communication as Example

To address the criminal risks associated with artificial intelligence (AI) in network communications, such as privacy invasion, information leakage and abuse, prejudice and discrimination, and intelligent crime, it's crucial to implement robust compliance plans. These plans should ensure legal...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of communication networks and information security 2023-12, Vol.15 (3), p.154-167
Hauptverfasser: Mou, Bo, Yang, Xiaopei
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:To address the criminal risks associated with artificial intelligence (AI) in network communications, such as privacy invasion, information leakage and abuse, prejudice and discrimination, and intelligent crime, it's crucial to implement robust compliance plans. These plans should ensure legal compliance by adhering to relevant laws and regulations, thus safeguarding against unlawful use of AI. Strengthening data privacy and protection is vital to prevent unauthorized access and misuse of sensitive information. Ensuring fairness and eliminating discrimination are essential to maintaining ethical AI practices and preventing biases in AI decision-making processes. Improving system transparency and interpretability is also critical; it involves making AI systems more understandable and accountable for their actions and decisions. Additionally, reinforcing security measures is necessary to defend against cyber threats and vulnerabilities, thereby reducing the probability of AI- enabled criminal activities. These comprehensive strategies are pivotal in mitigating the criminal risks of AI in network communication and promoting the responsible and ethical development of AI technology.
ISSN:2076-0930
2073-607X
2073-607X
2076-0930
DOI:10.17762/ijcnis.v15i3.6242