Organizing global AI ethics think tank for dynamic AI research updates and framework for AI safety policies implementation and humanity income support
Organizing global AI ethics think tank for dynamic AI research updates and framework for AI safety policies implementation and humanity income support
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Updated 06/10/26By grantmaking.aicreator
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Project Details
Updated 06/10/26By grantmaking.aiProject summary
For Grant Writing
Provide fees for help in multiple grant writing to organize a pilot, global AI ethics roundtable for AI researchers, policy makers, philosophers, private sectors, venture funds and regulators, forming into a think tank.
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For Setup
The fees also include setting up a protocol framework for whitepaper submission to have an effective system in AI safety policies implementation for private sectors and humanity income support.
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What are this project's goals and how will you achieve them?
- Communication for AI Ethics Consensus: To open a line of communication to gain trust and transparency between organisations that are run by humans to focus on AI ethics, thereby safety for humanity.
- Efficiency in global response to any AI threats: To have global activation for fast response in any circumstances that require attention to solve AI safety issues.
- Safe space for private sectors on AI testing, discussion with regulators and implementation: To allow private sectors to have a sandbox to have AI policy implementation and AI model testing, as well as fair contributions that benefited from AI productivity. Turning AI productivity into an immediate solution to contribute to the gap in living expenses, improving human conditions of living.AI Knowledge Base for human’s safety as priority: To allow visualisation for AI safety and ethics regtech\
Action plan :
Q3 & Q4 of 2024
Grant writing for pilot global AI Ethics Consensus roundtable(Regular):
- We will be organizing an AI Ethics Consensus roundtable with the approved grant from the fund, by hiring external help to write the grants.
- Forming a strategic alliance between all parties as mentioned above as a think tank. Consensus mechanism has to be established between the parties and to establish a sandbox environment to allow room for learning, retrospective feedback between policy makers and with relevant authorities.
- Constructing a knowledge base accessible to all. Establishing areas of R&D would require the interface of translating universal logic between robot consciousness and human consciousness. Define parameter testing according to context and risk level. Estimating the impact can be made for private and public sectors and to manage existential risks.
- Work with regulators and AI ethics researchers to extend universal logic beyond systems tested in energy, water, utilities and health industries
Open source platform for knowledge base frameworks for all registered AI researchers:
- We have the AI researchers ready to create visualisation interface to place frameworks as knowledge base for regtech on to be used on open source platform
Framework preparations for AI safety policies and humanity income support protocol:
- We have a ready team that can research on a protocol framework which we believe it's the best way to manage multiple parties and automate AI safety and humanity income policies implementation.
Educational Outreach and Government Relations:
Education Outreach and Government Relations: Developing tailored educational resources and fostering collaborative relationships with governmental bodies to ensure effective implementation of AI ethics and safety policies.
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Grants Received– no grants recorded
Updated 06/10/26By grantmaking.aiDiscussion
Capacity Building and Knowledge Sharing
Investing in capacity building and knowledge sharing initiatives can help governments and companies, especially in developing nations, to better understand and implement ethical AI practices. This could involve training programs, knowledge transfer partnerships, and the dissemination of best practices and case studies.
Fostering Multi-Stakeholder Collaboration
Encouraging public-private partnerships and multi-stakeholder collaborations can help bridge the gap between governments, companies, and NGO. By involving all relevant stakeholders in the development and implementation of ethical AI frameworks, there is a higher likelihood of buy-in and compliance from both public and private sectors.
We are collaborating with AI ethics communities, including representatives from media think tanks and academia. Additionally, our collaborator for the AI policy team is working closely with existing regulatory bodies and is supported by extensive research documentation. Our research team has played an iterator for R&D in AI ethics.
Team from Pentaip founder fund have played Amplifier as getting in investment funds as venture builder in multiple fields from blockchain, FMCG , consumer products, fintech to Energy fields for AI Ethics Safety Policies. It allows the AI Ethics Safety Policies and dynamic updates with regtech to be connected to deal flow.
The system architects, and programmers are generally led by a few polymaths who have many roles in telco, utilities, energy, digital transformation, and consumer electronics.
We can help to break down the differences for neural correlations of networks according to the existing communities , and regulatory bodies according to your definition: connectors, amplifiers and amplifiers. And build a strategy for the open source community to answer to R&D needs. And support the Knowledge economy. We have used this to profile for market research, for personality profiling for police subjects, counseling participants, aviation safety measures for pilot etc. We can break down internal capabilities and external capabilities for niche industries such as ai safety.
I would like to propose a way to collaborate with manifund, being the “environment” for talents while on our part we very much like to be the amplifier and with my partner in venture building we want to make this process >> AI research >> Dynamic updates with reg tech >> regulators with informed, data driven visualization during regular roundtable (AI Ethics Consensus 88, gathering 88 leaders including aggregating critical thinkers like Gertt Hofstede, Edward Debono equivalent, removing cultural bias) >> AI policies/consensus protocol mechanism >> Investments/Private sectors to ensure AI Ethics & Safety are implemented as a value system of humanity.
How do you get governments to abide by these rules and also ensure that companies within their geographical landscape to do due diligence?
As countries get more fragmented and protectionism rises, willingness to abide by a uniformed ethical code becomes tougher.