Organizations generate and store a large amount ofinformation across their departments, from personal data to purchasing behavior and location...
1 min read
03/07/2023
On June 26-27, 2023, the 3rd edition of the International Conference on Artificial Intelligence (AI), Machine Learning (ML), Data Science and Robotics took place in Rome, where our CTO Konstantinos Chatzitheodorou gave a presentation entitled: “Protecting Privacy in Multi-Modal Datasets: Balancing Anonymity and Value.”
As leaders in technical innovation, we are delighted to announce that we have won the Best Keynote Presentation Award at this prestigious international conference. During the event, which brought together experts from around the world, Pangeanic's contribution to the field of AI and data privacy protection garnered significant attention.
Discover the presentation in the following link:
Konstantinos Chatzitheodorou United Research Forum presentation
The presentation delved into the significance of text data in today's world, tackling the dilemma of maintaining a balance between privacy and extracting valuable insights in a data-driven environment. It also explored the challenges and considerations associated with the anonymization of various types of data, such as text, audio, images, and video datasets. Furthermore, the presentation acknowledged the potential risks of privacy violations and the ethical considerations associated with the handling of sensitive data.
Techniques such as redaction and differential privacy were also explored, along with the associated strengths, limitations, and offsets. In addition, we delved into the role of regulations such as the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA), Brazil’s General Data Protection Law (LGPD) or Japan’s Act on the Protection of Personal Information (APPI) in protecting individuals’ privacy.
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The aim of the presentation was to foster a comprehensive understanding among researchers, professionals and policymakers, with the goal of encouraging responsible and conscientious approaches to privacy. This, in turn, would enable the ethical utilization of data from an AI perspective, thereby harnessing its full potential.
Konstantinos states that living in a data-driven world, safeguarding personal privacy becomes a moral necessity and a critical strategic asset when building AI.
“I am very pleased to have been honored with the recognition of the best presentation of this conference. Safeguarding privacy encourages trust among users, encourages voluntary data exchange, mitigates legal and regulatory risks, and reinforces the reputation of AI systems.”
Our participation in the conference has reaffirmed our position as leaders in the field of AI and data protection. We also established Pangeanic's commitment to continue to drive innovation and ethics in the digital age.
