In the rapidly advancing landscape of Artificial Intelligence (AI), ensuring the safety of AI systems, particularly in critical sectors like healthcare and cybersecurity, is paramount. The convergence of technological prowess and ethical considerations has brought forth challenges that demand a comprehensive approach.
▾ Guaranteeing Safety in Healthcare and Cybersecurity
Addressing Bias and Discrimination – Responsible AI implementation in healthcare and cybersecurity begins with acknowledging and mitigating biases. Training AI models on diverse and representative datasets becomes a crucial step to avoid biased outcomes that could perpetuate discrimination.
Protecting Patient Privacy – Healthcare organizations, dealing with sensitive patient data, must prioritize robust data protection measures. Transparency in data usage, encryption, and strict access controls are essential components to safeguard patient privacy against potential breaches.
This story is from the November, 2023 edition of PCQuest.
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This story is from the November, 2023 edition of PCQuest.
Start your 7-day Magzter GOLD free trial to access thousands of curated premium stories, and 8,500+ magazines and newspapers.
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