DKGcon 2024 to Address Trust and Reliability in AI with Web3 Technologies

The Decentralized Knowledge Graph Conference (DKGcon) 2024, scheduled for October 24-25 in Amsterdam, Netherlands, aims to tackle the growing concerns surrounding trust and reliability in artificial intelligence (AI). With the theme 'AI Meets Reliability,' the conference will explore how Web3 technologies, such as blockchain and decentralized knowledge graphs, can address critical issues in AI including hallucinations, bias, and data privacy.

As generative AI increasingly permeates business and daily life, the need for verifiable and sustainable AI solutions has become paramount. DKGcon 2024 will bring together pioneers from the fields of Web3, AI, and Internet innovation to discuss the development of a 'verifiable Internet for AI' - a concept that could revolutionize how we interact with and trust AI systems.

The event boasts an impressive lineup of speakers, including Internet pioneer Dr. Bob Metcalfe, AI expert Dr. Ben Goertzel, cognitive scientist Gary Marcus, and OriginTrail founder Branimir Rakić. These thought leaders will be joined by representatives from major tech companies and innovative startups, offering a diverse perspective on the future of AI reliability.

The convergence of blockchain, AI, and Internet technologies presents a novel approach to enhancing AI safety and reliability. Conference attendees will have the opportunity to learn how these technologies are already reshaping various industries, from supply chains and creative sectors to scientific research and virtual ecosystems. Practical workshops will also be available, allowing participants to gain hands-on experience with the OriginTrail Decentralized Knowledge Graph (DKG).

This conference is significant as it addresses one of the most pressing challenges in the AI industry today - the need for trustworthy and verifiable AI systems. By bringing together experts from various technological domains, DKGcon 2024 has the potential to catalyze new solutions that could mitigate AI risks and promote more responsible AI development. The insights and collaborations emerging from this event could shape the future of AI integration across industries, potentially leading to more reliable, transparent, and ethically sound AI applications.