AI and Data Regulation at BioBrain Insights

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A. Introduction

1. Purpose

The purpose of BioBrain’s AI and Data Regulation governance is to establish a comprehensive framework for protecting client data and ensuring adherence to data privacy regulations at BioBrain insights. It outlines our commitment to safeguarding client information, detailing the measures in place to prevent the misuse of data, particularly with respect to its use in training or enhancing artificial intelligence (AI) capabilities. By clearly defining our policies and procedures, we aim to foster trust with our clients and uphold the highest standards of ethical data usage and AI responsibility.

2. Scope and Applicability

This policy applies to all employees, contractors, and third-party vendors engaged with BioBrain who handle, process, or have access to client data. It covers all types of client data collected, processed, and stored by BioBrain, as well as data shared with or accessed by our AI and Insight Engine. The policy is designed to ensure that all activities related to client data are conducted in accordance with legal and regulatory requirements, as well as BioBrain’s internal standards for data protection.

3.Definitions and Terminology

To ensure clarity and consistency throughout this document, the following definitions are provided:
    -Client Data: Any data provided by or collected from clients, including but not limited to personal information, business information, and any other data necessary for delivering services or conducting business operations.
     -Respondent Data: Any information collected from individuals (respondents) who participate in surveys, research studies, or any data collection activities conducted by or on behalf of Biobrain.
     -AI Training: The process of using data to improve or develop artificial intelligence models, including machine learning algorithms and other related technologies.
     -Data Privacy: The protection of personal and business data from unauthorized access, use, or disclosure.
    -Compliance: Adherence to relevant data protection laws, regulations, and standards that govern the handling of client data.

B. Data Privacy and Usage Policy Clauses

1. Statement of Commitment

1.1 Commitment to Data Privacy

BioBrain (hereinafter referred to as "Company") is dedicated to maintaining the highest standards of data privacy and security. The Company is committed to ensuring that all client data is handled with the utmost care, confidentiality, and respect.

1.2 Purpose of Data Use

Client data shall be used exclusively for the specific purposes for which it was collected, as outlined in the project or service agreement. The Company will adhere strictly to all applicable data protection laws and regulations to ensure compliance.

1.3 Non-Usage of Client Data for AI Training

The Company unequivocally pledges that client data will not be used to train or enhance its artificial intelligence (AI) models or insight engine capabilities. The data shall remain isolated from any AI training or enhancement processes.

2. Data Usage Limitations

2.1 Specific Use of Data

Client data will be utilized solely for the execution of agreed-upon projects and services. It will not be employed to enrich or train the Company’s AI systems, or for any purposes beyond those explicitly stated in the project or service agreement.

2.2  Operational Efficiency

The Company’s AI and Insight Engine capabilities are designed to operate efficiently without requiring additional client data for training or enhancement. Client data will be used only for immediate business processes necessary for fulfilling the project or service.

2.3 Data Confidentiality

The Company ensures that client data remains isolated from any AI training activities. This measure is implemented to safeguard the confidentiality and integrity of client information.

3. Data Segregation and Protection

3.1 Data Segregation

The Company implements robust measures to segregate client data from other types of data used within its systems. This segregation ensures that client data is kept separate from data used for other purposes.

3.2 Data Protection Protocols

The Company has established stringent data protection protocols to prevent unauthorized access to client data. These protocols include the use of advanced encryption technologies and strict access controls.

3.3 Access Controls

Access to client data is restricted to authorized personnel only, based on role-based access controls. Access is granted only to those individuals who require it to perform their specific roles within the scope of the project or service.

3.4 Security Measures

The Company employs state-of-the-art security measures to protect client data, including but not limited to encryption of data in transit and at rest, regular security audits, and compliance with industry standards.

C. BioBrain’s Insight Engine & AI Capabilities

1. Description of AI Capabilities

BioBrain's Insights Engine bears AI capabilities are designed to enhance the efficiency and effectiveness of market research processes through the use of sophisticated technologies. Our AI systems leverage well-developed advanced natural language processing (NLP) models and generative capabilities created as a result of broader world information. We have combined these capabilities with rigorously mapped statistical analysis methods and automation workflows developed by researchers in BioBrain’s product team. These technologies work together to drive processes, cumulatively termed as ‘Insight Engine’ by BioBrain Insights. It streamlines and optimizes market research workflows, enabling the extraction of actionable insights from complex data sets through rigorously tested, intelligent workflows which works independently of any further data requirement for training. Our insight engine’s functionality includes automating survey programming, quality control, data analysis, generating predictive insights, and providing in-depth understanding of market trends, all while maintaining the highest standards of accuracy and reliability.

2. Statement on Non-Usage of Client Data for AI Training

BioBrain's Insight Engine & AI capabilities are designed with a clear policy on data usage. Client data is not utilized for the training or enhancement of our AI models. Our AI systems operate independently of client data for development purposes, ensuring that all data remains strictly segregated and protected. Built on the foundations of general linguistics, natural language and statistical frameworks, BioBrain’s Insight Engine drives intelligence, speed, accuracy and efficiency in market research operations as a consequence of fundamental principles rather than incoming data of various projects, surveys or respondents. This ensures isolation and independence of BioBrain’s capabilities while simultaneously underscoring our commitment to maintaining the integrity of all data within the BioBrain system.

3.Optimization and Maintenance of AI Models

Our AI models are meticulously optimized and maintained through advanced technical methodologies that do not involve continuous training with client data. The optimization process involves refining algorithms and enhancing system performance based on system-based protocols and proprietary techniques developed by BioBrain. These techniques involve optimizations to achieve outcomes more efficiently and with higher precision based on established legacy frameworks in market research. These techniques ensure that our AI models remain at peak efficiency and effectiveness without the need for external data input. By employing a multi-technology approach, our systems achieve high levels of performance and accuracy, while adhering to our policy of not using client data for training or enhancement purposes. The efforts of BioBrain’s research team is continuously focused on pushing the boundaries of intelligent market research. By combining deep domain expertise, cutting-edge data science, and sophisticated statistical modelling, our research explores development of proprietary programs and intuitive questionnaire analysis frameworks that simplify complex research processes with robust logical functions. Therefore, BioBrain’s Insight Engine and AI relies on rigorous research and fundamental knowledge of our core domain processes instead of respondent or client generated data.

D.  What Data Do We Collect?

At BioBrain, data collection is conducted with a clear purpose and strict adherence to privacy and compliance standards. Data is collected primarily to deliver and improve our market research services. This includes gathering information necessary for project execution, client analysis, and operational optimization. The data collection process involves obtaining consent from clients, ensuring transparency about the types of data collected and the specific purposes for which it will be used. We utilize secure methods to collect data, including encrypted transmission channels and secure online forms, to safeguard information from unauthorized access.

The following data are collected:

1. BioBrain’s Client

1. Biobrain’s Client
Data Type
Details Provided
How the Data is Used
Questionnaire Content
Full list of questions and answer options, question types, logic, piping text, randomization instructions
To design and implement the survey, ensuring relevant questions are asked and responses are accurately recorded.
Survey Design Specifications
Visual layout, branding, introduction, instructions, page breaks, progress indicators
To create a user-friendly and engaging survey experience, making it easy for respondents to navigate and complete the survey.
Data Collection Settings
Target audience details, sample size, sampling method, incentives
To define the scope and reach of the survey, ensuring the sample represents the target audience and is sufficient for analysis.
Technical and Operational Details
Platform integration, response validation rules, timing and deadlines, device compatibility
To ensure the survey is technically sound, accurately captures responses, and is accessible across various devices and platforms.
Data Privacy and Security
Confidentiality agreements, data storage preferences, data anonymization, consent forms
To protect respondent data, ensuring it is handled according to privacy agreements and regulations, and anonymized where necessary.
Reporting and Analysis Requirements
Reporting format, specific analyses, frequency of reports
To generate reports that provide insights and support decision-making based on survey results.
Additional Customization
Language options, accessibility requirements, custom scripts.
To tailor the survey to diverse respondent needs and preferences, enhancing accessibility and relevance.
1. Survey Respondents
Data Type
Details Provided
How the Data is Used
Personal Identifiable Information (PII)
Name, email address, phone number, address, date of birth
To identify and contact respondents and ensure accurate and personalized communication.
Demographic Information
Age, gender, ethnicity, education level, occupation, income level, marital status
To segment the respondent population, analyze trends across different demographic groups, and tailor insights to specific segments.
Behavioral Data
Purchase history, usage patterns, preferences and interests, online behavior
To understand respondent behaviors, preferences, and interactions, and to provide targeted recommendations or insights.
Attitudinal Data
Satisfaction levels, opinions on specific issues or products, perceptions and beliefs, motivations
To gauge respondent attitudes, measure satisfaction, and identify key factors influencing opinions and decisions.
Feedback and Opinions
Comments and suggestions, ratings on products or services, responses to qualitative questions.
To gather detailed feedback, assess satisfaction, and derive actionable insights from open-ended responses.
Transactional Data
Details of purchases or bookings, transaction amounts, frequency of transactions.
To analyze purchasing behavior, transaction trends, and overall economic activity related to the respondent.
E. How do we protect your data?

1. Data Privacy Regulations

  -GDPR Compliance: We ensure strict adherence to the General Data Protection Regulation (GDPR) for handling personal data of EU residents, including obtaining explicit consent, ensuring the right to access, rectification, and deletion of data.

 - CCPA Compliance: We comply with the California Consumer Privacy Act (CCPA) for California residents, including providing transparency about data collection, the right to opt-out, and deletion of personal data.

  -PIPA Compliance: We adhere to the Personal Information Protection Act (PIPA) in Japan, which regulates the handling of personal data, including obtaining consent, ensuring the right to access and correct personal data, and implementing data security measures.

  - LGPD Compliance: We follow the Lei Geral de Proteção de Dados (LGPD) in Brazil, which governs the collection, use, and protection of personal data. Key requirements include obtaining explicit consent, ensuring transparency in data processing activities, and upholding data subject rights such as access, correction, and deletion.

 -PIPEDA Compliance: We ensure compliance with the Personal Information Protection and Electronic Documents Act (PIPEDA) in Canada. This includes obtaining consent for data collection and use, providing access to personal information, and safeguarding data with appropriate security measures.

  -Data Protection Agreements: We draft and enforce data protection agreements with clients that outline responsibilities and compliance with privacy regulations.

2.Data Encryption

    -Encryption in Transit: We use secure communication protocols (such as HTTPS and TLS) to encrypt data while being transmitted between clients and the survey automation platform.

    -Encryption at Rest: We encrypt stored data using strong encryption algorithms to protect it from unauthorized access.

3. Access Controls

    -Role-Based Access: We implement role-based access controls to ensure that only authorized personnel can access or modify questionnaire content and survey goals.

    -Authentication: We use multi-factor authentication (MFA) to enhance security for accessing sensitive data.

4. Data Anonymization and Pseudonymization

    -Anonymization: We anonymize data wherever possible to remove personally identifiable information (PII) from the data set.

    -Pseudonymization: We use pseudonyms or codes to replace direct identifiers, reducing the risk associated with data breaches.

5.Data Integrity and Validation

    -Integrity Checks: We implement data integrity checks to ensure that questionnaire and survey goal data remains unaltered during processing.

    -Validation Rules: We use validation rules to verify the accuracy and consistency of data input and output throughout the survey automation process.

6. Secure Data Storage

    -Secure Servers: We use secure servers with updated security patches and protection mechanisms to store questionnaire and survey goal data.

   -Database Security: We employ database security measures such as encryption, access controls, and regular security audits.

7. Audit Trails and Monitoring

   -Audit Trails: We maintain detailed logs of all access and modifications to questionnaire and survey goal data to monitor for any unauthorized activities.

    -Continuous Monitoring: We implement monitoring systems to detect and respond to potential security breaches or anomalies in real time.

8. Data Segregation

    -Logical Segregation: We use logical data segregation techniques to ensure that questionnaire and survey goal data are isolated from other data sets, reducing the risk of unauthorized access.

    -Access Restrictions: We apply strict access restrictions to ensure that only specific individuals or systems can view or alter the data.

9.Vendor and Third-Party Management

    -Due Diligence: We perform due diligence on any third-party vendors involved in the survey automation process to ensure they adhere to similar data protection and compliance standards.

    -Contractual Obligations: We include data protection clauses in contracts with vendors to ensure they comply with data privacy and security requirements.

10. Employee Training and Awareness

    -Training Programs: Conduct regular training programs for employees on data privacy, security best practices, and compliance with regulations.

    -Awareness Campaigns: Implement awareness campaigns to keep staff informed about the importance of data protection and their role in maintaining it.

11. Incident Response Plan

    -Incident Management: Develop and maintain an incident response plan to address potential data breaches or security incidents involving questionnaire and survey goal data.

    -Breach Notification: Have procedures in place to notify affected clients and relevant authorities promptly in the event of a data breach.

BioBrain maintains strict data privacy protocols, ensuring that client information remains confidential and is never compromised for secondary purposes such as algorithm enhancement. Our commitment to data privacy and ethical data use underpins our dedication to delivering reliable and trustworthy solutions to our clients. BioBrain ensures that data privacy and compliance are at the forefront of our operations. We are committed to safeguarding data with state-of-the-art encryption, rigorous access controls, and strict adherence to global privacy regulations such as GDPR and CCPA.  Our solutions are designed with transparency and fairness, ensuring that all data handling processes are secure and compliant, providing peace of mind for our clients and maintaining the highest standards of integrity and trust. For more information about data usage and protection, reach out to us at connect@biobrain.io