Meet Bhorania
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Meet Bhorania is a final-year Computer Science student at Anglia Ruskin University, Cambridge, and a Google Developer Group (GDG) Academy Ambassador. Passionate about the intersection of AI and technology. As a speaker at DevFest, I will be delivering an insightful talk on the growing role of Generative AI in transforming industries. With a deep interest in AI, especially in how it can shape the future, it aim to inspire others to explore the endless possibilities of this technology.
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Trusting Generative AI for Real-Time Decision-Making in IoT Devices
As IoT devices increasingly rely on real-time decision-making, generative AI offers immense potential to enhance these processes by predicting complex data patterns. However, this raises important questions about trust: Can AI be relied upon to make autonomous decisions, and how can we ensure its transparency and ethical integrity? This talk will explore the trustworthiness of generative AI in real-time IoT, covering technical challenges, best practices for ensuring accuracy and reliability, and the role of explainable AI (XAI). We will also address ethical and privacy concerns, providing insights on balancing innovation with responsible AI development.
The Ethics of Autonomous Creation: Should Generative AI Have Free Rein?
Generative AI has revolutionized creativity, from producing lifelike images to composing music and even drafting literature. However, the rapid advancement of these technologies has led to critical ethical questions. Should AI be allowed to create autonomously without human intervention? How do we balance innovation with accountability, ownership, and moral responsibility? This talk will explore the ethical dilemmas surrounding generative AI, examining its societal impact, potential biases, and the risks of unregulated creation. Together, we'll dive into the role of human oversight, the legal framework for AI-generated content, and how we can ensure responsible use in an age where machines are becoming creators.
Generative AI and IoT: Navigating Privacy Risks in AI-Driven Automation
In an era where the Internet of Things (IoT) is driving automation across industries, the integration of Generative AI introduces new opportunities and complexities. While AI-driven systems improve efficiency and personalization, they also raise significant privacy concerns. This talk explores the intersection of Generative AI and IoT, focusing on the privacy risks inherent in automated decision-making and data generation. We will discuss how AI models learn from user data, the vulnerabilities in IoT ecosystems, and the need for strong ethical frameworks to ensure responsible AI deployment. Attendees will gain insight into the balance between innovation and privacy protection, understanding the role of transparency, data security, and regulation in AI-driven automation.
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