The Dark Side of AI In this episode, we delve into the darker aspects of artificial intelligence (AI), focusing on its role in decision-making processes. We'll explore two insightful articles that highlight significant concerns surrounding AI. The first article, authored by Ahmed Banafa, addresses the risks and ethical dilemmas associated with AI, including bias, privacy violations, autonomous weapons, and the potential dangers of unchecked AI development. The second article, by Emma Corselli, offers a systematic literature review that examines five critical areas in AI-driven decision-making: privacy, aversion, accountability, transparency, and explainability, as well as bias. Corselli's research sheds light on challenges like a lack of transparency, dwindling trust in AI systems, and the complexities of identifying and mitigating bias in data and algorithms. Join us as we emphasize the need for transparency, explainability, and responsible AI development to minimize risks and unlock the true potential of artificial intelligence.
https://tips.pinecast.com/jar/efficient-ai/e/3dd52471/the-dark-side-of-ai
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