Ethical Challenges of AI and Quantum Synergy in Cognitive Augmentation
DOI:
https://doi.org/10.63345/Keywords:
Ethics, Artificial Intelligence, Quantum Computing, Cognitive Augmentation, Privacy, AutonomyAbstract
The convergence of artificial intelligence (AI) and quantum computing within cognitive augmentation paradigms promises revolutionary enhancements in human–machine collaboration, problem solving, and decision making. Yet, alongside these opportunities arise profound ethical challenges spanning data privacy, individual autonomy, societal equity, and the very definition of personhood. This paper presents a comprehensive, mixed-methods investigation into these challenges. First, a systematic literature review of publications from 2010–2025 across AI ethics, quantum computing, and cognitive neuroscience identifies foundational principles and emergent concerns. Second, semi-structured interviews with twelve domain experts (ethicists, AI researchers, quantum engineers) elicit practitioner perspectives on risks and mitigation strategies. Third, we apply three normative ethical frameworks—principlism, Rawlsian justice, and Sen’s capability approach—to synthesize guidelines for responsible innovation. Key findings include: (1) quantum-cracking of classical encryption threatens confidentiality of sensitive cognitive data; (2) barriers to access risk creating a “cognitive inequality” gap; (3) neuroadaptive interfaces risk covert manipulation absent rigorous informed consent; and (4) the blending of machine computation with neural processes challenges notions of personal agency and identity.
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- Sarvesh Kumar Gupta, 2025. "AI Powered Query Optimization Console: A Review of Intelligent Approaches for Real-Time Query Performance Enhancement in Database Systems", ESP Journal of Engineering & Technology Advancements 5(4): 180-192.
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- Sarvesh Kumar Gupta. Cloud ETL optimization with AWS glue and spark. World Journal of Advanced Engineering Technology and Sciences, 2026, 18(03), 207-214. Article DOI: https://doi.org/10.30574/wjaets.2026.18.3.0076
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- Bharucha, S. (2023). Digital legacy and innovation balance in family-owned enterprises. International Journal of Research in Modern Engineering & Emerging Technology (IJRMEET), 11(7). https://doi.org/10.63345/ijrmeet.org.v11.i7.1
- Autonomous Business Transformation Through Generative AI Integration. (2026). Global Journal of Innovative Research Perspectives (GJIRP), 2(2), Apr (83-91). https://doi.org/10.63345/gjirp.v2.i2.101
- Bharucha, S. (2023). Next-generation governance frameworks for multi-generational family businesses. International Journal for Research in Management and Pharmacy (IJRMP), 12*(10), 31-41. https://doi.org/10.63345/ijrmp.v12.i10.5
- Strategic Leadership for Hybrid Human-AI Workforce. (2025). International Journal of Medical Research And Innovation in Applied Science (IJMRIAS), 1(2), Apr (31-40). https://doi.org/10.63345/ijmrias.v1.i2.101
- Bharucha, S. (2022). Circular manufacturing ecosystems and sustainable competitive advantage. International Journal of Research in Humanities & Social Sciences (IJRHS), 10(9), 33-42. https://doi.org/10.63345/ijrhs.net.v10.i9.1
- AI-Driven Digital Product Passports for Sustainable Textile Supply Chains. (2025). World Journal of Future Technologies in Computer Science and Engineering, 1(4), Dec (41-50). https://doi.org/10.63345/wjftcse.v1.i4.301
- Bharucha, S. (2022). Predictive restructuring frameworks for organizational renewal. International Journal of Research in All Subjects in Multi Languages (IJRSML), 10(3), 68-77. https://doi.org/10.63345/ijrsml.v10.i3.1
- Bharucha, S. (2024). Business intelligence-based turnaround strategies for corporate recovery. International Journal for Research in Education (IJRE), 13 (8), 10-19. https://doi.org/10.63345/ijre.v13.i8.1
- Generative AI and the Reinvention of Management Education. (2026). Scientific Journal of Artificial Intelligence and Blockchain Technologies (SJAIBT), 1(2), Jun (1-9). https://doi.org/10.63345/sjaibt.v1.i2.301 - Gupta, S. K. (2022). Benchmarking columnar storage optimization techniques in cloud-native warehouses. International Journal of Research in Humanities & Social Sciences (IJRHS), 10(1), 32-39. https://doi.org/10.63345/ijrhs.net.v10.i1.1
- Bharucha, S. (2019, November 23). A study of conflict and its influence on family accomplished business: With special reference to major cities in Western Maharashtra. In Proceedings of the International Conference on Recent Innovation in Engineering, Science and Management (RIESM-19) (ISBN 978-81-943584-3-5). Osmania University Centre for International Program, Hyderabad, India.
- Gupta, S. K. (2022). Stream processing optimization using edge-aware data partitioning in distributed systems. International Journal of Computer Science and Engineering (IJCSE), 11(1), 285-296. https://www.iaset.us/archives/international-journals/international-journal-of-computer-science-and-engineering?page=18
- Bharucha, S., & Kumar, D. (2020). To study about the family business association and conflict. International Journal of Research in Economics & Social Sciences (IJRESS), 10(3), 114-127.
- Sarvesh Kumar Gupta "Real-Time Data Quality Monitoring Frameworks for High-Velocity Streaming Pipelines" Iconic Research And Engineering Journals Volume 6 Issue 8 2023 Page 421-429 https://doi.org/10.64388/IREV6I8-1719275
- Saini, V. K., Bharucha, S., Kumar, A., & Rana, P. (2025). Strategic horizons: Leading with vision in a changing world. Yashita Prakashan Private Limited.
- Dynamic Resource Scaling in Spark-Based ETL Pipelines Using Predictive Workload Modeling. (2023). Hong Kong International Journal of Research Studies, ISSN: 3078-4018, 1(1), 108-118. https://doi.org/10.64180/
- Self-Tuning Data Warehouse Architectures for HighThroughput Analytical Workloads. (2023). International Journal of Engineering Fields, ISSN: 3078-4425, 1(1), 51-59.
- Joshi, J., Bharucha, S., Jadhav, D. R. R., & Rastogi, M. (2025). Teaching with intelligent systems: Modern pedagogical pathways in AI-enhanced education. Wissira Research Lab. https://doi.org/10.63345/book.wrl.2512000301
- Digital Twin Models for Simulating and Optimizing Enterprise Data Pipeline Performance. (2024). AI Tech International Journal, ISSN: 3079-4749, 2(2), 71-82. https://techaijournal.com/index.php/AIjournal/article/view/39
- Gupta, S. K. (2023). Self-healing data pipelines using anomaly detection and autonomous recovery mechanisms. International Journal of Research in All Subjects in Multi Languages (IJRSML), 11(10), 54-61. https://doi.org/10.63345/ijrsml.v11.i10.1
- Sarvesh Kumar Gupta. (2024). Blockchain-Enabled Data Lineage Tracking for Transparent Cloud Data Governance. Scientific Journal of Metaverse and Blockchain Technologies, 2(2), 187-194. https://doi.org/10.36676/sjmbt.v2.i2.49
- Sarvesh Kumar Gupta. (2024). Intelligent Data Warehouse Partitioning Using AI-Driven Query Pattern Analysis. Modern Dynamics: Mathematical Progressions, 1(2), 540-547. https://doi.org/10.64170/mdmp.v1.i2.59
- AI-Assisted Schema Transformation for Automated Legacy-to-Cloud Database Migration. (2026). Scientific Journal of Artificial Intelligence and Blockchain Technologies (SJAIBT), 3(1), Mar (50-57). https://doi.org/10.63345/sjaibt.v3.i1.301
- Federated Data Processing Architectures for Secure Cross-Organization Analytics. (2026). World Journal of Future Technologies in Computer Science and Engineering (WJFTCSE) U.S. ISSN: 3070-6203, 2(2), May (60-68). https://doi.org/10.63345//wjftcse.v2.i2.201
- Sarvesh Kumar Gupta. (2025). Secure Data Migration Strategies on AWS Cloud. International Journal of Computational and Experimental Science and Engineering, 11(3). https://doi.org/10.22399/ijcesen.3952
- "Snowflake vs RDBMS: Performance Tuning Techniques", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 5, page no.c825-c832, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505296.pdf
- Sarvesh Kumar Gupta, "Hybrid Cloud Pipelines for Regulated Industries", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.12, Issue 2, Page No pp.705-712, May 2025, Available at : http://www.ijrar.org/IJRAR25B4662.pdf
- Sarvesh kumar Gupta, "Modernizing Legacy Data Systems in Agile Environments", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.12, Issue 2, Page No pp.713-721, June 2025, Available at : http://www.ijrar.org/IJRAR25B4663.pdf
- Sarvesh Kumar Gupta, 2025. "Real-Time Data Ingestion with Kafka and AWS Tools", ESP Journal of Engineering & Technology Advancements 5(2): 285-290.
- Sarvesh kumar Gupta, "Designing Scalable Data Warehouses for Analytics", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 7, pp.h868-h876, July 2025, Available at :http://www.ijcrt.org/papers/IJCRT2507898.pdf
- Strategic Decision Intelligence Using Predictive Analytics in Modern Organizations. (2026). Global Journal of Innovative Research Perspectives (GJIRP), 2(2), May (1-8). https://doi.org/10.63345/gjirp.v2.i2.201
- Sarvesh kumar Gupta. Best practices for oracle to PostgreSQL migration. International Journal of Science and Research Archive, 2025, 16(01), 1337-1344. Article DOI: https://doi.org/10.30574/ijsra.2025.16.1.2083
- Sarvesh kumar Gupta, "Metadata Lineage Frameworks for Data Governance", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 9, pp.c895-c903, September 2025, Available at :http://www.ijcrt.org/papers/IJCRT2509332.pdf
- Gupta, S. K. (2025). Machine Learning Integration in Spark-Based Pipelines. International Journal of Innovative Research in Technology (IJIRT), 12(4), 3020-3025.
- Sarvesh Kumar Gupta, 2025. "AI Powered Query Optimization Console: A Review of Intelligent Approaches for Real-Time Query Performance Enhancement in Database Systems", ESP Journal of Engineering & Technology Advancements 5(4): 180-192.
- Bharucha, S. (2026). Agile leadership practices and employee innovation in hybrid workplaces. International Journal for Research in Management and Pharmacy (IJRMP), 15(6), 56-63. https://doi.org/10.63345/ijrmp.v15.i6.1
- Sarvesh Kumar Gupta. Cloud ETL optimization with AWS glue and spark. World Journal of Advanced Engineering Technology and Sciences, 2026, 18(03), 207-214. Article DOI: https://doi.org/10.30574/wjaets.2026.18.3.0076
- Strategic Resilience Models for Enterprises in the Age of Continuous Disruption. (2026). E-Journal of Science and Emerging Technologies (EJSET), 2(2), May (26-33). https://doi.org/10.63345/ejset.v2.i2.201
- Bharucha, S. (2023). Digital legacy and innovation balance in family-owned enterprises. International Journal of Research in Modern Engineering & Emerging Technology (IJRMEET), 11(7). https://doi.org/10.63345/ijrmeet.org.v11.i7.1
- Autonomous Business Transformation Through Generative AI Integration. (2026). Global Journal of Innovative Research Perspectives (GJIRP), 2(2), Apr (83-91). https://doi.org/10.63345/gjirp.v2.i2.101
- Bharucha, S. (2023). Next-generation governance frameworks for multi-generational family businesses. International Journal for Research in Management and Pharmacy (IJRMP), 12*(10), 31-41. https://doi.org/10.63345/ijrmp.v12.i10.5
- Strategic Leadership for Hybrid Human-AI Workforce. (2025). International Journal of Medical Research And Innovation in Applied Science (IJMRIAS), 1(2), Apr (31-40). https://doi.org/10.63345/ijmrias.v1.i2.101
- Bharucha, S. (2022). Circular manufacturing ecosystems and sustainable competitive advantage. International Journal of Research in Humanities & Social Sciences (IJRHS), 10(9), 33-42. https://doi.org/10.63345/ijrhs.net.v10.i9.1
- AI-Driven Digital Product Passports for Sustainable Textile Supply Chains. (2025). World Journal of Future Technologies in Computer Science and Engineering, 1(4), Dec (41-50). https://doi.org/10.63345/wjftcse.v1.i4.301
- Bharucha, S. (2022). Predictive restructuring frameworks for organizational renewal. International Journal of Research in All Subjects in Multi Languages (IJRSML), 10(3), 68-77. https://doi.org/10.63345/ijrsml.v10.i3.1
- Bharucha, S. (2024). Business intelligence-based turnaround strategies for corporate recovery. International Journal for Research in Education (IJRE), 13 (8), 10-19. https://doi.org/10.63345/ijre.v13.i8.1
- Generative AI and the Reinvention of Management Education. (2026). Scientific Journal of Artificial Intelligence and Blockchain Technologies (SJAIBT), 1(2), Jun (1-9). https://doi.org/10.63345/sjaibt.v1.i2.301
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