EMERGING AI THREATS IN DATA SCIENCE: CHALLENGES AND COUNTERMEASURES
Keywords:
Artificial Intelligence, Data Science, Cybersecurity, Adversarial Attacks, Deepfakes, Data Privacy, Bias in AI, Model Inversion, Data Poisoning, Explainable AI.Abstract
Artificial Intelligence (AI) has revolutionized data science by enabling automated decision-making, predictive analytics, and large-scale data processing. However, the increasing integration of AI in data science has introduced significant threats, including data poisoning, adversarial attacks, deepfake technology, and privacy breaches. These threats compromise the integrity, security, and reliability of AI-driven systems. This research paper explores the most pressing AI-related threats to data science, analyzes their implications with statistical evidence, and presents potential mitigation strategies. Furthermore, regulatory frameworks and ethical considerations are discussed to ensure responsible AI deployment.
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