Council Post: Navigating Hallucination In Generative AI – Insights and Strategies

The future of AI is ripe with potential for innovation and transformation across industries, but realising this potential requires concerted effort, continuous adaptation, and collaborative endeavour.
Executive Summary In the vanguard of technological innovation, Generative Artificial Intelligence (AI) stands out for its ability to create content across a multitude of applications - from textual outputs in natural language processing to complex image generation. However, the emergence of "hallucinations" within these AI systems - instances of generating false, inaccurate, or irrelevant information - poses significant challenges for their reliability and the trust users place in them. Addressing these challenges necessitates a thorough understanding of hallucinations, their root causes, manifestations, and the development of comprehensive strategies for mitigation. Introduction As AI technologies continue to evolve at a rapid pace, their integration into business operations and
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Deepak Jose
Deepak Jose is a purpose-driven executive leader with expertise in digital transformation, commercial strategy, and analytics. Leading a global team, he drives profitable growth for brands through end-to-end analytics solutions. With experience in revenue management, marketing, sales, and strategy across diverse markets and industries, including confectionary, food, and beverage, Deepak has held strategic roles at global brands like Coca-Cola, ABB, Asurion, and Mu Sigma. He holds an MBA from George Washington University and a Mechanical Engineering degree from NIT Calicut, India. Additionally, he completed an executive education program at Oxford University Said School of Business in Economics of Mutuality.
25 July 2025 | 583 Park Avenue, New York
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