ABOUT
The P.E.C.K. values of AIHK embodies a multifaceted approach to fostering a thriving AI community and ecosystem in Hong Kong, emphasizing Policy & Governance, Ecosystem & Community, Collaboration & Partnership, and Knowledge & Education. AIHK's P.E.C.K. values serve as a foundational framework for cultivating a responsible and innovative AI community and ecosystem that benefits all stakeholders.
Policy & Governance
AIHK will actively engage with policymakers to influence and shape AI regulations that impact businesses in Hong Kong, ensuring that the interests of its members are represented. The association will advocate for robust corporate governance frameworks that promote ethical and responsible AI use across all sectors.
Collaboration & Partnership
AIHK will serve as a catalyst for collaboration among industry professionals, leading researchers, and global experts to drive joint initiatives that address common challenges in AI implementation. Through strategic partnerships, the association will enhance knowledge exchange and promote the development of AI technologies that benefit the broader community.
Ecosystem & Community
AIHK aims to foster a vibrant ecosystem that supports collaboration among businesses, researchers, and government entities, enhancing the overall AI landscape in Hong Kong. By building a strong community, AIHK will facilitate networking opportunities that encourage the sharing of best practices and innovative AI applications.
Knowledge & Education
AIHK will work closely with its members and external partners to provide educational resources that keep stakeholders and the broader ecosystem informed about industry trends and advancements in AI. By offering workshops, seminars, and knowledge-sharing sessions, AIHK will empower its members to enhance their skills and understanding of responsible AI practices.
Our Missions
Advocate
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Collaborate
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Education
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Responsible AI
Efficiency, Effectiveness & Productivity
Enhance operations, maximize outcomes, and boost productivity with efficiency and effectiveness strategies.
Explainability &
Interpretability
Ensure transparency and understanding in AI systems through explainability and interpretability for trustworthy solutions.
Privacy & Cyber
Security
Protect data and systems with robust privacy and cybersecurity measures for a secure digital environment.
Accountability &
Liability
Ensure responsibility and transparency in AI applications through accountability and liability frameworks for ethical practices.
Bias &
Fairness
Address biases and promote fairness in AI algorithms and systems for equitable outcomes and societal trust.
Human-Machine Interaction & Trust
Foster trust through seamless human-machine interaction, ensuring reliability and confidence in AI technologies.