BigData, Machine-learning, AI & AnalyticsConference50min
The Darkside of AI: Risks and Realities
This talk highlights the hidden risks of AI adoption, such as algorithmic bias, data privacy issues, and security vulnerabilities. It discusses their real-world impact on industries and economies, offering practical strategies for developers and leaders to design resilient AI systems. The session includes case studies, live demos, and an interactive Q&A.
Alexius Dionysius DiakogiannisEIB - European Investment Bank
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Friday, June 20, 17:00-17:50
Amiga OS
In this talk, I expose the hidden risks that come with the rapid adoption of artificial intelligence. I break down the major challenges we face, including bias in algorithms, data privacy issues, and security vulnerabilities that can lead to real-world consequences. I will use real-world examples and case studies to show how these problems emerge and affect industries, from healthcare and finance to everyday consumer services.
I also cover the economic impact of these risks, such as job displacement and market disruptions, and explain how these challenges intersect with ethical considerations. My talk will provide practical tips and strategies for developers, architects, and technical leaders to design more resilient and responsible AI systems. I will offer actionable advice on identifying potential pitfalls and mitigating risks while fostering innovation in AI.
The presentation is designed to be interactive and engaging. I plan to include live demonstrations and open the floor for a Q&A session where the audience can share their experiences and challenges. My approach is straightforward and focused on delivering clear, practical insights that anyone involved in building or managing AI technologies can apply immediately.
I also cover the economic impact of these risks, such as job displacement and market disruptions, and explain how these challenges intersect with ethical considerations. My talk will provide practical tips and strategies for developers, architects, and technical leaders to design more resilient and responsible AI systems. I will offer actionable advice on identifying potential pitfalls and mitigating risks while fostering innovation in AI.
The presentation is designed to be interactive and engaging. I plan to include live demonstrations and open the floor for a Q&A session where the audience can share their experiences and challenges. My approach is straightforward and focused on delivering clear, practical insights that anyone involved in building or managing AI technologies can apply immediately.
Alexius Dionysius Diakogiannis
Alexius is a seasoned Tech Leader and Software Architect with over 20 years of experience in Java/JEE, specializing in the Spring framework and enterprise architecture. He has led mission-critical projects and is an influential speaker at industry conferences. Alexius holds dual Masters in Security & Digital Forensics and in AI (in progress), and his credentials include certifications in Advanced Python for Applied Machine Learning, Data Science Methodology, and AML, among others. He is also the founding member and admin of Greece’s largest Developers and Designers Group, boasting approximately 18,000 members, and is an active contributor to open source projects.
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