KT shows commitment to developing Ethical Artificial Intelligence
KT has expressed its determination to leap forward as an AI Communication and Information Technology (AICT) company by announcing its intent to establish research institutions aimed at minimizing risks associated with artificial intelligence (AI). These institutions will also develop guidelines to foster responsible AI development.
Responsible Artificial Intelligence Center to guide technology development
The new ‘Responsible AI Center’ (RAIC) is set to launch and guide the development of AI to ensure safety and reliability. The RAIC will work on research dedicated to minimizing potential risks and ensuring that AI technology delivers beneficial value to users. It will establish risk management systems specifically targeting areas where AI could be misused, such as safety, transparency, and privacy protection.
In addition to enhancing the AI ethical principles already applied in-house, KT aims to produce guidelines that are practical and immediately implementable. Previously, KT had established AI ethical principles and published a white paper to advance AI in the telecommunications industry, emphasizing adherence to principles such as fairness, non-discrimination, transparency, and interpretability in AI technology and product development. It also underscored the importance of strengthening the social responsibility for the development of responsible AI through standardization and an open ecosystem encouraging sharing of resources and technology.
International cooperation on AI norms is gaining momentum
In the wake of the EU passing AI legislation and the AI Summit in Seoul slated for May, international discussions and cooperation on AI norms are progressing. In response, KT is collaborating with Canada’s Vector Institute, prioritizing ‘Responsible AI’ on their agenda. This cooperation is part of KT’s strategy to establish governance systems aligning AI use with the values and goals of society, further solidifying its management vision as an AICT company, a commitment made at the recent MWC 2024.
KT plans to recruit experts in various fields for the RAIC, including AI ethics, policy development and collaboration, software engineering, and data science. Specific details regarding recruitment can be found on the KT Group’s employment website.
The Director of KT’s Responsible AI Center, Baek Soon-min, emphasized KT’s ongoing commitment to strengthening ‘Responsible AI’, ensuring that ethical values such as transparency, fairness, and security are embodied in AI to positively impact everyday life and drive societal innovation.
Importance of Ethical Guidelines in AI
While AI technology offers numerous benefits, it also brings about crucial ethical concerns such as the need for transparency, accountability, and protection against bias and discrimination. To address these issues, organizations like KT are taking steps to establish ethical AI frameworks that guide the development and deployment of AI systems.
Key Questions and Answers:
What is Ethical AI?
Ethical AI refers to the practice of designing, developing, and deploying AI with consideration for ethical principles such as fairness, accountability, and transparency. It aims to prevent harm and ensure AI technologies benefit society.
Why is establishing a Responsible AI Center important?
The RAIC is crucial as it institutionalizes the commitment to ethical AI, providing a dedicated space for research and development of guidelines that promote the safe and responsible use of AI technologies.
What challenges are associated with Ethical AI?
Challenges include addressing the potential biases embedded within AI algorithms, ensuring transparency and explainability in AI decision-making processes, and maintaining user privacy. Striking a balance between innovation and ethical constraints is also complex.
Controversies in Responsible AI
Controversies often stem from the trade-offs between leveraging the capabilities of AI and protecting individual rights. As AI becomes more pervasive, concerns about mass surveillance, employment displacement, and loss of human agency are debated.
Advantages and Disadvantages:
Advantages:
– Helps avoid bias and discrimination in AI applications.
– Ensures transparency and accountability in AI systems.
– Promotes trust in AI technologies by consumers and regulatory bodies.
Disadvantages:
– Ethical guidelines might slow down the pace of AI innovation.
– Implementing ethical AI principles can be complex and resource-intensive.
– There may be conflicts between ethical guidelines and the objectives of certain AI applications.
For those interested in exploring more about AI ethics and policy development, here are some relevant websites:
– AI Global
– Future of Life Institute
– Partnership on AI
Please note, the provided websites are subject to change and should be visited with caution, ensuring they remain relevant and secure sources of information on ethical AI practices.