ESG & SDGs
Infoboss utilizes technology to create a world where we thrive alongside nature—where industrial growth and environmental conservation can be achieved simultaneously.
Infoboss SDGs
The UN Sustainable Development Goals (SDGs) serve as the foundation for Infoboss’ core business indicators. Through our data-driven utilization of natural resources and our bioinformatics platform technology, we directly contribute to the following six key goals:
Infoboss offers new alternatives for the preventive management of non-communicable chronic diseases with our mapping of 67,532 disease-plant indicators.
We are working to rediscover the value of plant resources from developing countries and to implement a scientific model for the conservation of biodiversity.
We aim to promote the sustainable utilization of natural resources by constructing a digital library and AI-based algorithms for the discovery of novel resources.
Infoboss hosts annual seminars domestically with our Science & Technology Network, and have established ourselves as a key private-sector partner in achieving global SDGs through joint research with international academic, research, and corporate partners.
Quantitative Indicators
Enhancing Nutrition and Food Security
Development of functional food and plant- derived ingredients, utilization of agriculture from developing countries.
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3000+
Plant species in Infoboss’ database with the potential to be used in nutritional and functional foods
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00%
Percentage of plant resources sourced from developing countries
-
00
Number of functional ingredients that have entered the commercialization stage
Preventing Disease and Promoting Health
Product development based on 5,000 health indicators
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5,378
Disease–plant pairings that can be used in disease-specific treatment
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30+
Preventable non-communicable diseases, including sleep disorders, hypertension, and diabetes
-
00
Newly discovered functional compounds developed in-house or through joint research
Sustainable industrialization
Product development based on 5,000 health indicators
-
1.1 PB
Total amount of data
1.39BData Points
-
00
AI-based predictive models and discovery algorithms
-
00
Number of domestic and international patent applications and registrations
Sustainable industrialization
Establishment of a rare plant resource database and collaborative research on conservation
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00+
Number of high-value plant species registered
-
00
Number of natural compounds identified as alternatives to synthetic materials
Technological Collaboration and Knowledge Exchange
Joint research with multinational institutions, academic institutions, and corporations.
-
00
Number of collaborative projects with academic, research, and corporate partners
-
00
External API call volume and annual data provision
AI Ethics Policy
AI Ethics Policy
Principles
Philosophy
Infoboss AI Ethics Principles
Ethics Statement on Data-Driven Predictive AI
Our predictive AI technology is built on Basic Science data. The following principles guide our application of expert-verified information to industrial practices:
Data Reliability and Integrity
We ensure the credibility of our data with clear references and citations.
Only expert-verified information grounded in basic science is utilized to guarantee data integrity.
We maintain the value and continuity of our data through consistent and ongoing version control.
Bioethics and Human Dignity
We uphold human dignity by only using experimental data that comply with bioethical standards.
We ensure human autonomy and dignity by utilizing AI as a tool—not to replace humans, but to support them.
Transparency and Explainability
We establish transparency in the AI decision-making process by developing explainable AI.
The training process, rationale behind predictions, and limitations of our AI model will be clearly disclosed.
Fairness and Bias Prevention
We will consistently monitor and investigate algorithmic biases to ensure fairness.
We continuously strive to be fair and inclusive to all.
Personal Information Protection and Security
We comply with personal data protection laws and prioritize the privacy of our users.
We actively safeguard our data against cyber threats such as ransomware through data encryption.
Our data retention policy ensures transparent data management by documenting all aspects of data collection, storage location, applications, retention period, and methods of utilization.
Data Management and Quality Assurance
We ensure the consistency, security and quality of our data through systematic data management.
Social Responsibility and Continuous Improvement
We regularly assess the societal impact of AI technology and continuously improve our systems to minimize any negative effects.
We gather feedback from various stakeholders and maintain a system that can respond swiftly to any ethical issues that may arise.
We strive to enhance the accessibility of AI technology to ensure its benefits are distributed fairly across society.
Infoboss AI Philosophy
Our Vision
With our AI technology built on plant resources, we strive to contribute to better human health, the sustainable use and conservation of nature, and balanced industrial developments.
Core Values
Scientific Rigor
We provide reliable AI solutions grounded in verified scientific data and methodologies.
Ecological Harmony
We aim to achieve harmony between technological progress and nature, striving for sustainable innovation without causing negative environmental impact.
Human-Centered Approach
Our human-centered approach ensures that technology is utilized in meaningful ways to enhance the quality of our life and health.
Social Value
We prioritize the sustainable development of society and public interest over individual gain.
Our Promise
We will create a healthier and more sustainable world for future generations by combining our expertise in AI technology and understanding of plant resources.