BABL AI Company Profile

Background

Overview

BABL AI, founded in 2018 and headquartered in Iowa City, Iowa, is a leading firm specializing in AI auditing and responsible AI consulting. The company is dedicated to ensuring that artificial intelligence systems are developed, deployed, and governed in ways that prioritize human flourishing. BABL AI offers independent third-party audits, consulting services, and educational programs to assist organizations in navigating the complex landscape of AI regulations and ethical considerations.

Mission and Vision

BABL AI's mission is to ensure that all algorithms are developed, deployed, and governed in ways that prioritize human flourishing. The company's vision is to create a world where artificial intelligence is used to further human flourishing, promote sustainability, and is grounded in globally shared human values.

Industry Significance

As AI technologies become increasingly integrated into various sectors, the need for responsible AI practices has grown. BABL AI plays a crucial role in this ecosystem by providing services that help organizations mitigate risks associated with AI deployment, ensuring compliance with evolving regulations, and fostering public trust in AI systems.

Key Strategic Focus

Core Objectives

AI Auditing: Conducting independent audits to assess AI systems for ethical risks, biases, and compliance with regulations.

Responsible AI Consulting: Offering guidance to organizations on implementing responsible AI practices and navigating regulatory landscapes.

Education and Training: Providing online courses and certification programs to equip professionals with the skills needed for AI auditing and governance.

Areas of Specialization

Algorithmic Bias Assessment: Evaluating AI systems to identify and mitigate biases that could lead to unfair outcomes.

Regulatory Compliance: Ensuring AI systems adhere to local and international regulations, such as New York City's Local Law 144.

Ethical Risk Management: Developing strategies to address ethical concerns in AI deployment.

Key Technologies Utilized

AI Auditing Tools: Proprietary methodologies for assessing AI systems' fairness and transparency.

Data Analysis Platforms: Advanced analytics to evaluate AI models and their outputs.

Educational Platforms: Online learning management systems for delivering training programs.

Primary Markets Targeted

Technology Companies: Ensuring AI products meet ethical standards and regulatory requirements.

Healthcare Providers: Auditing AI systems used in patient care to prevent biases and ensure fairness.

Financial Institutions: Assessing AI models used in lending and risk assessment to avoid discriminatory practices.

Financials and Funding

Funding History

Specific details regarding BABL AI's funding history, total funds raised, and notable investors are not publicly disclosed. The company has been recognized for its innovative approach, securing the top prize at the Iowa JPEC Innovation Challenge Awards in April 2024, which included a $25,000 award.

Utilization of Capital

While detailed plans for the utilization of capital are not publicly available, it is likely that the funds are directed towards expanding service offerings, enhancing technological capabilities, and scaling operations to meet the growing demand for responsible AI services.

Pipeline Development

Key Pipeline Candidates

BABL AI's primary focus is on providing auditing and consulting services rather than developing a product pipeline. The company continually refines its methodologies and tools to stay ahead of emerging AI technologies and regulatory changes.

Anticipated Milestones

Expansion of Service Offerings: Introducing new consulting services and educational programs to address evolving AI challenges.

Geographical Expansion: Extending services to new regions in response to global demand for responsible AI practices.

Technological Platform and Innovation

Proprietary Technologies

Algorithmic Auditing Framework: A comprehensive system for evaluating AI systems' ethical implications and compliance.

Bias Detection Algorithms: Tools designed to identify and mitigate biases in AI models.

Significant Scientific Methods

Ethical Risk Assessment Models: Frameworks for analyzing potential ethical issues in AI deployment.

Regulatory Compliance Checklists: Detailed guides to ensure AI systems meet legal standards.

Leadership Team

Shea Brown – Founder and Chief Executive Officer

An astrophysicist turned entrepreneur, Shea Brown specializes in building and testing advanced AI systems. As CEO, he leads BABL AI's strategic direction and service offerings.

Jovana Davidovic – Co-Founder and Chief Ethics Officer

Jovana brings expertise in AI ethics, guiding the company's approach to responsible AI practices.

Jeffery Recker – Co-Founder and Chief Operating Officer

Jeffery oversees BABL AI's daily operations, ensuring efficient service delivery and operational excellence.

Khoa Lam – Co-Founder and Chief Product Officer

Khoa is responsible for developing and refining BABL AI's service offerings, focusing on product innovation and client satisfaction.

Bryan Ilg – Chief Sales Officer

Bryan leads the sales strategy, driving business growth and expanding BABL AI's client base.

Benjamin Lange – Senior Advisor

Benjamin provides strategic guidance, leveraging his extensive experience in AI and business development.

Shivam Kishore – Senior Advisor

Shivam offers insights into AI policy and governance, advising on regulatory compliance and ethical considerations.

Mitt Regan – Senior Advisor

Mitt contributes expertise in AI law and ethics, supporting BABL AI's mission to promote responsible AI practices.

Ali Hasan – Senior Advisor

Ali provides strategic advice on AI implementation and governance, aiding in the development of effective AI systems.

Emily Brown – Senior Marketing Advisor

Emily leads marketing initiatives, enhancing BABL AI's brand presence and outreach efforts.

Son-U Michael Paik – General Counsel

Son-U oversees legal affairs, ensuring compliance with laws and regulations affecting BABL AI's operations.

Dinah Rabe – AI Auditor

Dinah conducts audits of AI systems, assessing ethical risks and compliance with standards.

Luna Olavarría Gallegos – AI Auditor

Luna specializes in evaluating AI models for fairness and transparency, contributing to responsible AI practices.

Ayşegül Güzel – AI Auditor

Ayşegül focuses on identifying biases in AI systems, ensuring equitable outcomes in AI applications.

Max Rizzuto – AI Auditor

Max assesses AI systems for ethical implications, supporting organizations in responsible AI deployment.

Janet Boutilier Schwartz – Audit Operations Consultant

Janet manages audit processes, ensuring efficiency and effectiveness in service delivery.

Paul Garcia – Government Business Development Consultant

Paul explores opportunities for BABL AI in the public sector, fostering partnerships and collaborations.

Borhane Blili Hamelin – Senior Consultant

Borhane provides expert advice on AI governance and ethics, aiding in the development of responsible AI strategies.

Goldah Nekesa Matete – Responsible AI Governance, and International Human Rights Lawyer

Goldah offers legal expertise in AI governance and human rights, ensuring compliance with international standards.

Jeremy Werner – Communications and Media Manager

Jeremy manages communications, enhancing BABL AI's public relations and media presence.

Mert Çuhadaroğlu – Training Programs Manager

Mert oversees training programs, developing educational content for AI professionals.

Abhinav Mittal – Responsible AI Governance Advisor

Abhinav advises on AI governance, supporting organizations in implementing ethical AI practices.

Piero Soave – AI Policy Advisor

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