Mr. Konstantinos Sgantzos
National Technical University of Athens, Athens, Greece

Title: A proposal on mitigating Big Data pollution and AI deterioration.

Abstract: In a world of Big Data, with information which is vastly collected from the internet as the main source for machine learning, researchers pay attention to two main characteristics: Data diversity and data integrity. Diversity of data leads the model to identify more patterns and produce more nuanced predictions. Integrity of data is important for the creation of trustworthy results. If the dataset contains data flaws, errors, or wrong information, the model will often produce unreliable answers. One of the biggest hurdles that AI researchers have to mitigate is the ongoing flooding of AI created content published on the internet, which in return leads to minimal diversity. In such cases of reusing AI created content, researchers have observed fast model deterioration. Apart from the ethical concerns of reusing AI generated material, often without the creator’s consent, in this paper we propose the usage of tokenized data on a Distributed Ledger Technology database powered by Triple Entry Accounting recordkeeping to ensure data integrity and ensure diversity via incentivized human participation.

BIO:Mr. Konstantinos Sgantzos is a Theoretical Physicist and Biochemist, with an MSc in Computational Biology & Bioinformatics. He is working with PPC Group as a head of the Environmental subsector of Megalopolis, Greece. He has participated in more than 10 international, government, academic, and commercial conferences as a keynote speaker and panellist. His expertise is on Multimodal Artificial Intelligence and Cellular Automata with the focus on how humans can build a computational entity that will reach the equivalence of a general form (AGI) on a secure environment such as a Blockchain. Since 2021, he is academically affiliated as a Research Associate with Research Institute of Science and Engineering [RISE] at University of Sharjah, UAE. He’s also academically affiliated and pursuing his PhD in AI Ethics with School of Applied Mathematics and Physics, at National Technical University of Athens, Greece.