Overview
| Part of |
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| Duration |
1 day
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| Course Time |
9:00am - 5:00pm |
| Enquiry |
Please email ask-iss@nus.edu.sg for more details
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As the business landscape continues to evolve rapidly, it is essential for leaders to stay ahead of the curve and embrace emerging technologies that can drive innovation and competitive advantage. One such technology that has gained significant attention in recent years is Artificial Intelligence (AI) and, most recently, Generative AI. Generative AI refers to the ability of AI systems to create new and original content, such as images, videos, text, and even entire virtual environments. This technology has the potential to transform various industries and revolutionize the way businesses operate, opening up new opportunities for growth, efficiency, and customer engagement. AI has broad applications across industries, from sensing, sensemaking, content creation and marketing to product design, personalization, and virtual experiences. By understanding the capabilities and limitations of AI and generative AI, business leaders can identify innovative applications within their specific domains and unlock new avenues for business growth.
Trust is the essence of AI because it underpins the relationship between humans and artificial intelligence systems. AI algorithms and models are designed to make decisions and take actions that impact individuals and society as a whole. In order for AI to be effective and widely adopted, it is essential that users, stakeholders, and the general public have confidence in the integrity, reliability, and fairness of AI systems. As AI technology continues to evolve and becomes more complex, considerations such as bias, transparency, and accountability become paramount. Trust allows organizations and users to evaluate and address these issues, ensuring that AI systems are designed and deployed in a responsible and ethical manner. In addition, to position AI in today’s digital landscape requires a quick segue into trust technologies such as crypto/blockchains and how the two technologies work together.