AI Research Ethics
Guiding principles for responsible AI and cybersecurity research
Our Ethical Commitment
Building AI that benefits humanity
At Techodite, we believe that AI and cybersecurity research must be conducted with the highest ethical standards. Our ethical framework guides every aspect of our research, from initial conception to deployment and beyond.
Core Belief
"Technology should empower humanity, not diminish it. AI must be developed with compassion, foresight, and respect for human dignity."
2018
Ethics Committee Established
First in AI research in India
43
Ethics Reviews Completed
In the past year
100%
Compliance Rate
With ethical guidelines
15
Ethics Publications
In top journals
Ethical Principles
Fairness & Bias Mitigation
Ensuring AI systems treat all individuals and groups fairly
Implementation Practices
Alignment with Standards
IEEE Ethically Aligned Design
EU AI Act
Responsible Team
Each principle is overseen by dedicated ethics champions from our research teams.
Ethics Review Process
Research Proposal
Initial ethics screening of research objectives and methods
Requirements:
- • Ethics checklist
- • Data management plan
- • Risk assessment
Ethics Committee Review
Comprehensive review by multidisciplinary ethics committee
Requirements:
- • Detailed protocol
- • Participant safeguards
- • Mitigation strategies
Approval & Monitoring
Ongoing monitoring throughout research lifecycle
Requirements:
- • Regular progress reports
- • Incident reporting
- • Final audit
Post-Research Review
Assessment of ethical outcomes and lessons learned
Requirements:
- • Outcomes report
- • Impact assessment
- • Knowledge sharing
Prohibited Research Areas
Autonomous Weapons
AI systems designed for autonomous lethal force
Violates principles of human dignity and control
Social Scoring Systems
AI for mass surveillance and social control
Undermines democratic values and individual freedoms
Manipulative AI
AI designed to exploit psychological vulnerabilities
Violates autonomy and informed consent principles
Genetic Discrimination AI
AI for genetic profiling and discrimination
Violates principles of equality and non-discrimination
Ethics Committee
Committee Composition
Our Ethics Committee includes diverse perspectives to ensure comprehensive ethical oversight:
4
AI Researchers
2
Ethics Philosophers
2
Legal Experts
3
Community Representatives
2
Industry Experts
2
Social Scientists
Contact the Ethics Committee
For ethics-related inquiries, research proposals, or concerns:
Chairperson
Dr. Ananya Sharma
Professor of AI Ethics
Meeting Schedule
Bi-weekly meetings, open to research teams
Join Our Ethical AI Community
Download our ethics guidelines or collaborate with us on responsible AI research.