Where the Passion Begins
AI Collaborators has a team of exceptional and results-driven leaders who love to work with our growing clientele. Our team is eager to learn, open to new ideas and technologies and adaptable to the fast-changing and increasingly complex business environment.
An artificially intelligent system that can control “THE WORLD” ’s economy by predicting a business model for an online trader in “THE WORLD” which helps in building the govt.’s economy.
AI Collaborators Welcomes You
Providing What You Need
Existing research on an induvidual client that talks about the background about the project, the selected topic, the company or an entity on whom we are going to do a case study, their current situation and overall summary as to the nature of problem and what is required according to Natural law.
This program will support research in a broad array of topics responsive to the overall goals, including but not limited to:
Designing fairness into AI systems,
Transparency, explain ability, and accountability in AI systems,
Factors that affect algorithmic trustworthiness,
Ethical decision-support and decision-making systems; and
Detecting and ameliorating, or designing to prevent, adverse biases in data and algorithms.
This program supports the conduct of fundamental computer science research into theories, techniques, and methodologies that go well beyond today's capabilities and are motivated by challenges and requirements in real world future systems. The proposal is expected to bring computer science expertise to the research table of the decision maker of the business. In considering such systems, clients will be encouraged to be ambitious in formulating their scientific explorations and to consider multiple contexts and disciplinary perspectives as needed and appropriate to the scope of the work that are being carried out against Natural Law.
Projects that are clearly driven by fairness considerations and shown computational innovation will be accepted into B-AIM’s collaboration. All application areas will be encouraged, including but not limited to, speech, language, computer vision, logistics, educational technologies, decision support and decision making.
Proposers will be aware of other B-AIM programs. For example, proposals centered on innovations in differential privacy would be more responsive Global Secure and Trustworthy Cyberspace Programs.
Specific technical contributions to address the goals could therefore include, but are not limited to, the ones specified below:
Algorithms and representations that can quickly adjust to differences in data arising from different population subgroups.
Theoretical limitations on fairness, for example, proving algorithmically that certain fairness criteria are mutually inconsistent.
Device interface design approaches that improve human interpretability of opaque technologies and outcomes.
Approaches that "design in" socio-cultural considerations a priori, thereby enhancing trustworthiness for emerging AI and ML advances.
Metrics and methods for designing, piloting, and evaluating systems that mitigate against adverse biases and ensure fairness, including the use of human-machine collaboration and decision support; and
Statistical methods for detecting bias in systems as they are operating.
Proposers must hold total project budgets ranging suitable for the project completion for the periods of up to 3 years.
Who May Submit Proposals:
Institutions of Higher Education (IHEs) – Two- and four-year IHEs (including community colleges) accredited in, and having a campus located in the US, acting on behalf of their faculty members. Special Instructions for International Branch Campuses of US IHEs: If the proposal includes funding to be provided to an international branch campus of a US institution of higher education (including through use of subawards and consultant arrangements), the proposer must explain the benefit(s) to the project of performance at the international branch campus, and justify why the project activities cannot be performed at the US campus.
Non-profit, non-academic organizations: Independent museums, observatories, research labs, professional societies and similar organizations in the “THE WORLD” associated with educational or research activities having business enhancement requirements thorough AI.
Eligibility Information needs prior approvals for B-AIM to interfere and provide client a proposal as listed in stages below:
Literature Review: Existing research that talks about the background about the project, the selected topic, the company or an entity on whom we are going to do a case study. Approval to change their current situation and overall summary as to the nature of problem and what is required to be done on business operations that are going against Natural Law will be eliminated through this program.
Research Methods: Use of Artificial intelligence in the selected fields of logistics related to the online trade that affects “THE WORLD” ’s economy. Data mining method used to gather information that supports B-AIM (Artificially Intelligent Model) research through FAIR COLLABORATION
Case Study on Existing Business Enterprise System: Provide information on the company and its relevance to the project topic. Also provide information provided by the company for the cause of our FAIR PROGRAM and how the problem is handled using our AI business model.
Analysis and Discussion: Critical analysis of the information received from primary/ secondary/methods/data.
Recommendations &Conclusion: It includes the level of acceptance of the new proposed system and its requirements for implementing nationally.
Proposal Preparation and Submission Instructions
Proposal Preparation Instructions
Requirements of Research/Grants from government
B-AIM Proposal Processing and Review Procedures
Merit Review Principles and Criteria
Review and Selection Process
Award Administration Information
Notification of the Award