GIVING TECH LABS

AI for Good

AI for the Public Interest – AI4PI is the Research & Development Division at Giving Tech Labs, led by Dr. Ying Li, a world’s renowned Scientist.

We focus on exploring, under ethical principles, the practical application of Domain-Specific Knowledge Graphs and Knowledge extraction techniques as a Service to the Public, as well as the use of sound-related technologies to address complex issues in society.

recent research papers

Acoustic Measures for Real-Time Voice Coaching – Real-Time Voice Coach with 100% user privacy.

Abstract: Our voices can convey many different types of thoughts and intent; how our voices carry them is often not consciously controlled and as a consequence, unintended effects may arise that negatively impact our relationships. How we say things is as important as what we say. This paper presents methodologies for computing a set of physical properties from sound waves of a speaker’s voice directly, referred to as acoustic measures (avoiding the speech-to-text step to guarantee user’s privacy). Experiments are designed and conducted to establish the correlations between physical properties and auditory measures for the human perception of sound waves. Based on these correlations, a voice coaching app can guide users, in real-time or deferred retrospective, to modify their speech’s auditory measures, such as rate of speech, energy level, and intonation, to achieve their intended communication goals.

Dr. Ying Li – Abraham Miller (fellow 2019-20 cohort) – Arthur Liu (fellow 2019-20 cohort) – Kyle Coburn – Luis J. Salazar

Patent Pending Giving Tech Labs 2019

Domain-Specific Knowledge Graphs as Public Service. Powering Social-Impact Funding in the U.S.

Abstract: Web and mobile technologies enable ubiquitous access to information. Yet, it is getting harder, even for subject matter experts, to quickly identify quality, trustworthy, and reliable content available online through search engines powered by advanced knowledge graphs. This paper explores the practical applications of Domain-Specific Knowledge Graphs that allow for the extraction of information from trusted published and unpublished sources, to map the extracted information to an ontology defined in collaboration with sector experts, and to enable the public to go from single queries into ongoing conversations meeting their knowledge needs reliably. We focused on Social-Impact Funding, an area of need for over one million nonprofit organizations, foundations, government entities, social entrepreneurs, impact investors, and academic institutions in the US.

Dr. Ying Li – Vitalii Zakhozhyi (sr. fellow 2019-20 cohort) – Daniel Zhu (fellow 2019-20 cohort) – Luis J. Salazar

AI data sciences for good

We have full-time positions for Knowledge Engineers, Ontology Analysts, Full-stack Software Developers and Data Scientists

Additionally, we offer fellowships for cohorts of 6 students who work for a minimum of 6 weeks, but ideally one year to complete the program, creating prototypes of applied AI to systemic social issues in the area of Human Services.

Published Applied Research Papers and technology building blocks have immediate applicability to accelerate the pace at which social entrepreneurs, nonprofit organizations, government, and the private sector develop Technology for the Public Interest.

Apply now if you have a passion for helping to address real social problems through the use of software, applied math, behavioral economics, data sciences, AI, and philosophy.

impact goals

fellowships

Experiential learning opportunity for undergrad and grad students to participate and graduate in the program every year. Students are compensated for the hours worked.

applied AI

Creating prototypes, and trained AI modules for Public Interest Use, and 2 Applied Research Paper submissions per year, all focused on applied AI to solve real social issues.

building field capacity

Starting with the 2020 cohort, fellows that complete the program succesfully, will have a guaranteed, executive-level interview for a full-time data-sciences position at a renowed NGO in the U.S.

AI as a service

The programs also serves as a pilot for potential models to offer AI Data Sciences as a Service for NGOs

2020 focus

domain-specific knowledge graphs as a service to the public

 

Intellectual disabilities (in partnership with Special Olympics International).

Equity in Higher Education.

Social Tech Innovation and Funding Sources (in partnership with Microsoft Corporation).

Sexual Assault Prevention and Response

 

edge-ai for ethical analysis of sound’s feature characteristics

 

early-childhood education, cognitive development, and personal improvement.

 

deriving knowledge from the extraction of non-PII data from large datasets

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