Neurotechnology and Human Augmentation: Ethical and Technological Perspectives
Abstract
Advancements in neurotechnology, including brain-computer interfaces (BCIs) and neural implants, are redefining human capabilities. This paper explores the intersection of neuroscience, artificial intelligence, and bioengineering in enhancing cognitive and motor functions. A review of recent developments in BCIs, such as Elon Musk’s Neuralink and China’s brainwave research initiatives, highlights their applications in medicine, communication, and military strategy. Ethical concerns surrounding privacy, identity, and human enhancement are critically analyzed. The study emphasizes the need for global regulatory frameworks to ensure responsible innovation in neurotechnology.
References
Trehan, A. (2025). Bias in Green AI Addressing Disparities in Data and Algorithms. In Advancing Social Equity Through Accessible Green Innovation (pp. 63-76). IGI Global Scientific Publishing.
Trehan, A. (2025). The Road Ahead: AI and Data Science as Pillars for Sustainable Equity. In Advancing Social Equity Through Accessible Green Innovation (pp. 421-436). IGI Global Scientific Publishing.
Pradhan, C., & Trehan, A. (2025). Integration of Blockchain Technology in Secure Data Engineering Workflows.
Trehan, A., & Pradhan, C. AUTOMATED DATA LINEAGE TRACKING IN DATA ENGINEERING ECOSYSTEMS.
Katru, C. R., Gami, S. J., Shah, K. N., Trehan, A., & Saratchandran, D. V. (2024). Next-Gen AI Quality Checks: Redefining Data Integrity in Automated Workflows.
Juyal, P., Manukonda, P., Saratchandran, D., Trehan, A., Shah, K. N., & Rao, C. (2024). The Role of Artificial Intelligence in Enhancing Decision-Making in Enterprise Information Systems.
Pradhan, C., & Trehan, A. DATA ENGINEERING FOR SCALABLE MACHINE LEARNING DESIGNING ROBUST PIPELINES.
Shah, K., & Trehan, A. STREAMLINING SOFTWARE DEVELOPMENT: A COMPARATIVE STUDY OF AI-DRIVEN AUTOMATION TOOLS IN MODERN TECH.
Shah, K. N., Gami, S. J., & Trehan, A. An Intelligent Approach to Data Quality Management AI-Powered Quality Monitoring in Analytics.
Kolla, V. R. K. (2020). Forecasting the Future of Crypto currency: A Machine Learning Approach for Price Prediction. International Research Journal of Mathematics, Engineering and IT, 7(12).
Kolla, V. R. K. (2018). Forecasting the Future: A Deep Learning Approach for Accurate Weather Prediction. International Journal in IT & Engineering (IJITE).
Kolla, V. R. K. (2016). Analyzing the Pulse of Twitter: Sentiment Analysis using Natural Language Processing Techniques. International Journal of Creative Research Thoughts.
Kolla, V. R. K. (2015). Heart Disease Diagnosis Using Machine Learning Techniques In Python: A Comparative Study of Classification Algorithms For Predictive Modeling. International Journal of Electronics and Communication Engineering & Technology.
Kolla, V. R. K. (2020). Paws And Reflect: A Comparative Study of Deep Learning Techniques For Cat Vs Dog Image Classification. International Journal of Computer Engineering and Technology.
Kolla, V. R. K. (2016). Forecasting Laptop Prices: A Comparative Study of Machine Learning Algorithms for Predictive Modeling. International Journal of Information Technology & Management Information System.
Kolla, V. R. K. (2021). Cyber security operations centre ML framework for the needs of the users. International Journal of Machine Learning for Sustainable Development, 3(3), 11-20.
Kolla, V. R. K. (2021). Prediction in Stock Market using AI. Transactions on Latest Trends in Health Sector, 13(13).
Kolla, V. R. K. (2020). India’s Experience with ICT in the Health Sector. Transactions on Latest Trends in Health Sector, 12(12).
Kolla, V. R. K. (2021). A Secure Artificial Intelligence Agriculture Monitoring System.
Kolla, V. R. K. (2023). The Future of IT: Harnessing the Power of Artificial Intelligence. International Journal of Sustainable Development in Computing Science, 5(1).
Velaga, S. P. (2014). DESIGNING SCALABLE AND MAINTAINABLE APPLICATION PROGRAMS. IEJRD-International Multidisciplinary Journal, 1(2), 10.
Velaga, S. P. (2016). LOW-CODE AND NO-CODE PLATFORMS: DEMOCRATIZING APPLICATION DEVELOPMENT AND EMPOWERING NON-TECHNICAL USERS. IEJRD-International Multidisciplinary Journal, 2(4), 10.
Velaga, S. P. (2017). “ROBOTIC PROCESS AUTOMATION (RPA) IN IT: AUTOMATING REPETITIVE TASKS AND IMPROVING EFFICIENCY. IEJRD-International Multidisciplinary Journal, 2(6), 9.
Velaga, S. P. (2018). AUTOMATED TESTING FRAMEWORKS: ENSURING SOFTWARE QUALITY AND REDUCING MANUAL TESTING EFFORTS. International Journal of Innovations in Engineering Research and Technology, 5(2), 78-85.
Velaga, S. P. (2020). AIASSISTED CODE GENERATION AND OPTIMIZATION: LEVERAGING MACHINE LEARNING TO ENHANCE SOFTWARE DEVELOPMENT PROCESSES. International Journal of Innovations in Engineering Research and Technology, 7(09), 177-186.
Velaga, S. P. R. (2021). AI in Health Monitoring: Continuous Care through Wearable Technology. International Journal of Holistic Management Perspectives, 2(2).
Velaga, S. P. R. (2020). AI in Cardiovascular Care: From Early Detection to Personalized Treatment. International Journal of Holistic Management Perspectives, 1(1).
Velaga, S. P. R. (2018). AI in Healthcare Chatbots: Enhancing Patient Engagement and Support. International Numeric Journal of Machine Learning and Robots, 2(2).
Velaga, S. P. R. (2017). AI in Healthcare Accessibility: Bridging the Urban-Rural Divide. International Numeric Journal of Machine Learning and Robots, 1(1).
Gatla, T. R. An innovative study exploring revolutionizing healthcare with ai: personalized medicine: predictive diagnostic techniques and individualized treatment. International Journal of Creative Research Thoughts (IJCRT), ISSN, 2320-2882.
Gatla, T. R. ENHANCING CUSTOMER SERVICE IN BANKS WITH AI CHATBOTS: THE EFFECTIVENESS AND CHALLENGES OF USING AI-POWERED CHATBOTS FOR CUSTOMER SERVICE IN THE BANKING SECTOR (Vol. 8, No. 5). TIJER–TIJER–INTERNATIONAL RESEARCH JOURNAL (www. TIJER. org), ISSN: 2349-9249.
Gatla, T. R. (2017). A SYSTEMATIC REVIEW OF PRESERVING PRIVACY IN FEDERATED LEARNING: A REFLECTIVE REPORT-A COMPREHENSIVE ANALYSIS. IEJRD-International Multidisciplinary Journal, 2(6), 8.
Gatla, T. R. (2019). A CUTTING-EDGE RESEARCH ON AI COMBATING CLIMATE CHANGE: INNOVATIONS AND ITS IMPACTS. INNOVATIONS, 6(09).
Gatla, T. R. “A GROUNDBREAKING RESEARCH IN BREAKING LANGUAGE BARRIERS: NLP AND LINGUISTICS DEVELOPMENT. International Journal of Creative Research Thoughts (IJCRT), ISSN, 2320-2882.
Gatla, T. R. (2018). AN EXPLORATIVE STUDY INTO QUANTUM MACHINE LEARNING: ANALYZING THE POWER OF ALGORITHMS IN QUANTUM COMPUTING. International Journal of Emerging Technologies and Innovative Research (www. jetir. org), ISSN, 2349-5162.
Gatla, T. R. MACHINE LEARNING IN DETECTING MONEY LAUNDERING ACTIVITIES: INVESTIGATING THE USE OF MACHINE LEARNING ALGORITHMS IN IDENTIFYING AND PREVENTING MONEY LAUNDERING SCHEMES (Vol. 6, No. 7, pp. 4-8). TIJER–TIJER–INTERNATIONAL RESEARCH JOURNAL (www. TIJER. org), ISSN: 2349-9249.
Gatla, T. R. (2020). AN IN-DEPTH ANALYSIS OF TOWARDS TRULY AUTONOMOUS SYSTEMS: AI AND ROBOTICS: THE FUNCTIONS. IEJRD-International Multidisciplinary Journal, 5(5), 9.
Gatla, T. R. (2024). AI-driven Regulatory Compliance for Financial Institutions: Examining How AI Can Assist in Monitoring and Complying With Ever-changing Financial Regulations.
Gatla, T. R. A Next-Generation Device Utilizing Artificial Intelligence For Detecting Heart Rate Variability And Stress Management.
Gatla, T. R. (2023). MACHINE LEARNING IN CREDIT RISK ASSESSMENT: ANALYZING HOW MACHINE LEARNING MODELS ARE.
Gatla, T. R. (2022). BLOCKCHAIN AND AI INTEGRATION FOR FINANCIAL.
Gatla, T. R. A CRITICAL EXAMINATION OF SHIELDING THE CYBERSPACE: A REVIEW ON THE ROLE OF AI IN CYBER SECURITY.
Gatla, T. R. REVOLUTIONIZING HEALTHCARE WITH AI: PERSONALIZED MEDICINE: PREDICTIVE.
Pindi, V. (2018). NATURAL LANGUAGE PROCESSING(NLP) APPLICATIONS IN HEALTHCARE: EXTRACTING VALUABLE INSIGHTS FROM UNSTRUCTURED MEDICAL DATA. International Journal of Innovations in Engineering Research and Technology, 5(3), 1-10.
Pindi, V. (2019). A AI-ASSISTED CLINICAL DECISION SUPPORT SYSTEMS: ENHANCING DIAGNOSTIC ACCURACY AND TREATMENT RECOMMENDATIONS. International Journal of Innovations in Engineering Research and Technology, 6(10), 1-10.
PINDI, V. (2022). ETHICAL CONSIDERATIONS AND REGULATORY COMPLIANCE IN IMPLEMENTING AI SOLUTIONS FOR HEALTHCARE APPLICATIONS. IEJRD-International Multidisciplinary Journal, 5(5), 11.
Pindi, V. (2021). AI in Dental Healthcare: Transforming Diagnosis and Treatment. International Journal of Holistic Management Perspectives, 2(2).
Pindi, V. (2020). AI in Rare Disease Diagnosis: Reducing the Diagnostic Odyssey. International Journal of Holistic Management Perspectives, 1(1).
Pindi, V. (2018). AI for Surgical Training: Enhancing Skills through Simulation. International Numeric Journal of Machine Learning and Robots, 2(2).
Pindi, V. (2017). AI in Rehabilitation: Redefining Post-Injury Recovery. International Numeric Journal of Machine Learning and Robots, 1(1).
Deekshith, A. (2019). Integrating AI and Data Engineering: Building Robust Pipelines for Real-Time Data Analytics. International Journal of Sustainable Development in Computing Science, 1(3), 1-35.
Deekshith, A. (2020). AI-Enhanced Data Science: Techniques for Improved Data Visualization and Interpretation. International Journal of Creative Research In Computer Technology and Design, 2(2).
Deekshith, A. (2021). Data engineering for AI: Optimizing data quality and accessibility for machine learning models. International Journal of Management Education for Sustainable Development, 4(4), 1-33.
Deekshith, A. (2022). Cross-Disciplinary Approaches: The Role of Data Science in Developing AI-Driven Solutions for Business Intelligence. International Machine learning journal and Computer Engineering, 5(5).
Deekshith, A. (2023). Scalable Machine Learning: Techniques for Managing Data Volume and Velocity in AI Applications. International Scientific Journal for Research, 5(5).
DEEKSHITH, A. (2018). Seeding the Future: Exploring Innovation and Absorptive Capacity in Healthcare 4.0 and HealthTech. Transactions on Latest Trends in IoT, 1(1), 90-99.
DEEKSHITH, A. (2017). Evaluating the Impact of Wearable Health Devices on Lifestyle Modifications. International Transactions in Artificial Intelligence, 1(1).
DEEKSHITH, A. (2016). Revolutionizing Business Operations with Artificial Intelligence, Machine Learning, and Cybersecurity. International Journal of Sustainable Development in computer Science Engineering, 2(2).
DEEKSHITH, A. (2015). Exploring the Foundations, Applications, and Future Prospects of Artificial Intelligence. International Journal of Sustainable Development in computer Science Engineering, 1(1).
DEEKSHITH, A. (2014). Neural Networks and Fuzzy Systems: A Synergistic Approach. Transactions on Latest Trends in Health Sector, 6(6).
Deekshith, A. (2023). Transfer Learning for Multilingual Speech Recognition in Low-Resource Languages. International Transactions in Machine Learning, 5(5).
Deekshith, A. (2021). AI-Driven Sentiment Analysis for Enhancing Customer Experience in E-Commerce. International Journal of Machine Learning for Sustainable Development, 3(2).
DEEKSHITH, A. (2019). From Clinics to Care: A Technological Odyssey in Healthcare and Medical Manufacturing. Transactions on Latest Trends in IoT, 2(2).
DEEKSHITH, A. (2018). Integrating IoT into Smart Cities: Advancing Urban Health Monitoring and Management. International Transactions in Artificial Intelligence, 2(2).
DEEKSHITH, A. (2016). Revolutionizing Business Operations with Artificial Intelligence, Machine Learning, and Cybersecurity. International Journal of Sustainable Development in computer Science Engineering, 2(2).
Alladi, D. (2023). AI-Driven Healthcare Robotics: Enhancing Patient Care and Operational Efficiency. International Machine learning journal and Computer Engineering, 6(6).
Deekshith, A. (2023). AI-Driven Predictive Analytics for Energy Consumption Optimization in Smart Grids. Transactions on Recent Developments in Health Sectors, 6(6).
Alladi, D. (2023). AI in Genomics: Unlocking the Future of Precision Medicine. International Numeric Journal of Machine Learning and Robots, 7(7).
Deekshith, A. (2023). Explainable AI for Decision Support in Financial Risk Assessment. International Transactions in Artificial Intelligence, 7(7).
Deekshith, A. (2022). AI-Driven Early Warning Systems for Natural Disaster Prediction. International Journal of Sustainable Development in Computing Science, 4(4).
