Challenges in AI Safety
Échec de l'ajout au panier.
Échec de l'ajout à la liste d'envies.
Échec de la suppression de la liste d’envies.
Échec du suivi du balado
Ne plus suivre le balado a échoué
Challenges in AI Safety
Acheter pour 8,71 $
Aucun mode de paiement valide enregistré.
Nous sommes désolés. Nous ne pouvons vendre ce titre avec ce mode de paiement
-
Narrateur(s):
-
Bob McCoy
-
Auteur(s):
-
Paramendra Bhagat
À propos de cet audio
Artificial intelligence (AI) is revolutionizing industries and transforming daily life, but ensuring its safety and ethical operation remains crucial. As AI systems become increasingly prevalent, powering applications from personalized recommendations to autonomous vehicles, they bring profound benefits alongside significant challenges.
To address these challenges, it is essential to focus on critical areas such as bias, transparency, and safety. Tackling bias requires diverse datasets, regular audits, and explainable AI systems. Enhancing transparency involves developing interpretable models and fostering stakeholder understanding. Ensuring the safety of autonomous systems demands rigorous testing, real-time monitoring, and collaboration with regulators. By addressing these issues collectively, we can maximize AI's potential while safeguarding against risks, ensuring its positive impact on society.