ปาฐกถาพิเศษ · ICCI 2024 | ICCI — การประชุมวิชาการนานาชาติด้านไซเบอร์เนติกส์และนวัตกรรม

Alisa Kongthon

Chair, Digital Business Management Program, Graduate School of Management and Innovation, King Mongkut's University of Technology Thonburi

หัวข้อ Mapping the Implementation of Artificial Intelligence in the Food Industry: A Technological Roadmap Approach

Over the past few years, artificial intelligence (AI) has evolved into a game-changing technology across various sectors. The endorsement of Thailand's national AI strategy and action plan (2022 – 2027) signifies a crucial step towards harnessing AI’s benefits. With a focus on ten target sectors, the strategy aims to cultivate an ecosystem conducive to AI development, fostering economic growth and enhancing the well-being of Thai citizens. Among these sectors, food industry stands prominently as an immediate priority. To identity the strategic directions of research and development of AI applications in the food industry in Thailand, technology roadmapping approach can be used to help identify strategic target needs from the industry, the current research activities, and the future research directions. With these insights, policymakers can understand the real needs of the industry and allocate appropriate budgets to R&D programs that address industry-specific challenges and foster sustainable growth.

Rachada Kongkachandra

Assistant Professor, Data Science and Innovation, College of Interdisciplinary Studies, Thammasat University; Vice President, Artificial Intelligence Association of Thailand

หัวข้อ Trustworthy AI for Researchers

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.