Overview
Since 20 September 2021 self-declared 'non-commercial organisations' are no longer required to provide a lobby budget. See above timeline for this registrant's historical lobby budget.
Lobbying Costs
None declared
Financial year: Jan 2023 - Dec 2023
Lobbyists (Full time equivalent)
1 Fte (4)
Lobbyists with EP accreditation
0
High-level Commission meetings
1
Lobbying Costs over the years
-
Info
Taiwan AI Labs & Foundation (Taiwan AI Labs)
EU Transparency Register
237522991638-38 First registered on 27 Mar 2024
Goals / Remit
Taiwan AI Labs & foundation (AI Labs) is a NPO, NGO, privately funded research organization based in Taipei. It is the very first open AI research institute in AI. Focus on right-respecting, human centered, trustworthy and Responsible AI Research. https://ailabs.tw
AI Labs work with Taiwan policy makers closely and developed open source right respecting technology following GDPR for Data Governance.
The National Development Council (NDC) and Taiwan AI Labs jointly propose the establishment of the Taiwan AI Federated Learning Alliance (TAIFA). This alliance aims to provide a trustworthy framework and mechanism for Federated Learning data governance. With a focus on personal data privacy, cyber security, and ethical concerns, it seeks to create a national-level, cross-ministerial, and cross-domain platform service.
https://taifa.orgMain EU files targeted
Transparency and Responsible AI:
Transparency: In AI, transparency refers to making the operations, decisions, and outcomes of AI systems understandable and interpret-able to humans. This includes transparency in the data used, the algorithms applied, and the decision-making processes. Transparency ensures accountability and allows users to understand how AI systems work and why they make certain decisions.
Responsible AI: Responsible AI encompasses ethical considerations, fairness, safety, and accountability in the development, deployment, and use of AI technologies. It involves ensuring that AI systems align with societal values and norms, do not perpetuate bias or discrimination, are safe and reliable, and uphold human rights and dignity.
Code of Ethics:
A code of ethics in AI establishes principles and guidelines for the ethical development, deployment, and use of AI technologies. It typically includes values such as fairness, transparency, accountability, privacy, safety, and inclusivity.
A comprehensive code of ethics outlines the responsibilities of various stakeholders, including developers, policymakers, users, and organizations employing AI systems.
Key elements of a code of ethics may include:
Fairness and non-discrimination: Ensuring that AI systems treat all individuals fairly and do not perpetuate bias or discrimination.
Transparency: Committing to transparency in the development and deployment of AI systems to enable accountability and trust.
Accountability: Holding developers and users of AI systems accountable for their actions and the outcomes of AI-driven decisions.
Privacy and data protection: Respecting individuals' privacy rights and ensuring the responsible handling of personal data.
Safety and reliability: Prioritizing the safety and reliability of AI systems to minimize harm and ensure trustworthiness.
Evaluating Abuse of AI Including External Interference:
Abuse of AI: This refers to the misuse or exploitation of AI technologies for malicious purposes, such as spreading disinformation, surveillance, manipulation, or discrimination.
Examples include the use of AI-powered bots to amplify fake news or manipulate public opinion, the deployment of facial recognition systems for mass surveillance without consent or oversight, or the use of AI algorithms to unfairly discriminate against certain groups.
External Interference: This involves the influence or manipulation of AI systems by external actors for their own agendas or interests.
External interference can take various forms, such as cyberattacks targeting AI systems to manipulate outcomes, adversarial attacks to bypass security measures, or the manipulation of training data to bias AI algorithms.
Evaluation and Mitigation:
Evaluating abuse of AI requires ongoing monitoring, analysis, and assessment of AI systems and their impacts on society.
Effective mitigation strategies may include implementing safeguards such as robust cybersecurity measures, transparency and accountability mechanisms, ethical guidelines, and regulations to prevent abuse and protect against external interference.
Collaboration among stakeholders, including policymakers, technologists, researchers, civil society organizations, and industry players, is crucial to address the complex challenges posed by the abuse of AI and external interference.
When discussing these topics with policymakers, it's essential to emphasize the importance of upholding values such as transparency, accountability, fairness, and ethical considerations in AI development and deployment. Additionally, highlighting the potential risks and consequences of AI abuse and external interference can help inform policy decisions aimed at promoting responsible AI governance and protecting societal interests.Address
Head Office
6F., No.70, Sec.1, Chengde Rd., Datong Dist.,
Taipei 103622
TAIWANEU Office
6F., No.70, Sec.1, Chengde Rd., Datong Dist.,
Taipei 103622
TAIWANWebsite
-
People
Total lobbyists declared
4
Employment time Lobbyists 25% 4 Lobbyists (Full time equivalent)
1
Lobbyists with EP accreditation
No lobbyists with EP accreditations
Complementary Information
None declared
Person in charge of EU relations
Data not provided by Register Secretariat due to GDPR
Person with legal responsibility
Data not provided by Register Secretariat due to GDPR
-
Categories
Category
Non-governmental organisations, platforms and networks and similar
-
Networking
Affiliation
AI Labs Foundation Chairman of the Board
Taiwan Creative Content Agency Director
Chunghwa Telecom Director
Taipei Performing Arts Center DirectorMember organisations
Taiwan AI Labs & Foundation
-
Financial Data
Interests represented
Does not represent commercial interests
Closed financial year
Jan 2023 - Dec 2023
Lobbying costs for closed financial year
Since 20 September 2021 self-declared 'non-commercial organisations' are no longer required to provide a lobby budget. See above timeline for this registrant's historical lobby budget.
Total organisational budget in closed year
12,000,000€
Major funding types in closed year
Donations, Grants, Other
Funding types "other" information
Grants Personal Investment Personal Lending
Major contributions in closed year
Type Name Amount Contribution Yi-Chin Tu 12,000,000€ Other financial info
None declared
-
EU Structures
Groups (European Commission)
None declared
Groups (European Parliament)
Artificial intelligence and digital
Communication activities
In Europe related activities, Taiwan AI Labs is at the forefront of advancing collaborative learning applications across industries, aligning with the principles of GDPR, DMA, and DSA. With a focus on sectors like healthcare, finance, urban planning, transportation, business, culture, and manufacturing, Taiwan AI Labs has demonstrated exceptional success, particularly in revolutionizing healthcare practices.
In addition to its achievements, Taiwan AI Labs has fostered strategic partnerships with esteemed organizations such as the Taiwan Clinical Trial Consortium (TCTC), Taiwan Smart Healthcare Alliance (TSHA), and the Kaohsiung Federated Learning Smart Healthcare Alliance. These collaborations aim to establish robust industry validation and certification mechanisms, ensuring the highest standards of innovation and accountability.
Addressing pertinent challenges faced by the financial sector, including money laundering, fraud, and talent shortages, Taiwan AI Labs has developed a groundbreaking collaborative learning financial platform. This platform offers a trustworthy and responsible solution, providing comprehensive software and hardware solutions tailored to the needs of financial institutions.
By facilitating the integration of learning experiences across diverse financial entities, the platform enables practical testing and application for shared learning objectives. Importantly, it serves as a remedy for the talent shortage in regional banks by empowering institutions with advanced AI capabilities.
Taiwan AI Labs' dedication extends from conceptualization and manufacturing to on-site implementation and international trade, with a vision to foster a holistic industrial ecosystem. Through its pioneering efforts, Taiwan AI Labs is not only transforming industries but also contributing to the advancement of European policy objectives in innovation, ethics, and sustainable growth.Other activities
None declared
Meetings
Meetings
1 meetings found. Download meetings
The list below only covers meetings held since November 2014 with commissioners, their cabinet members or directors-general at the European Commission; other lobby meetings with lower-level staff may have taken place, but the European Commission doesn't proactively publish information about these meetings. For more information about which commissioner is responsible for which portfolio, check out this link: https://commissioners.ec.europa.eu/index_en All information below comes from European Commission web pages.
1 July 2024: We have noted that some meetings are appearing in duplicate, ie. some meetings seem to be listed twice. This seems to be because the Commission changes some element of a meeting data after the meeting has first been listed, which causes LobbyFacts to register it as a new meeting. We are investigating further.
-
Date 28 Mar 2024 Location New York Subject disinformation, hate speech and electoral integrity Cabinet Cabinet of Vice-President Věra Jourová Attending - Alvaro De Elera (Cabinet member)
- Daniel Braun (Cabinet member)
- Věra Jourová (Vice-President)
Other Lobbyists