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.

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.