Keynote Speakers

The keynote addressed the critical importance of trustworthiness in Artificial Intelligence for the research community, emphasizing the need for ethical, transparent, and secure AI applications. The talk will begin by exploring the transformative potential of AI in research, highlighting its ability to enhance methodologies and outcomes, while also acknowledging the challenges it presents, such as ethical dilemmas and data privacy concerns.

Next, the significance of trustworthiness challenges in AI research is discussed. It is including algorithmic biases and transparency issues, and the imperative for researchers to address these challenges to maintain the integrity of their work. Then, the outlined frameworks and guidelines for trustworthy AI, such as the EU AI Act and IEEE Ethically Aligned Design are presented. The speaker will demonstrate the practical aspects of integrating trustworthy AI into research workflows through real-world case studies. The talk emphasized the importance of interdisciplinary collaboration in developing ethical AI systems and the need for continued education and awareness on AI ethics among researchers.

Finally, the conclusion with a look at future directions in trustworthy AI for research and a call to action for researchers, policymakers, and technologists is addressed. The keynote aimed to inspire and equip researchers with the knowledge and tools needed to navigate the complexities of trustworthy AI, ultimately contributing to more ethical, transparent, and impactful research outcomes.