Co-hosted with GAIDYNTechnology & AITrust Dialogues Ep. 01 — Who Is Responsible When AI Goes Wrong?
Artificial intelligence is transforming decision-making, but who is accountable when an AI system causes harm? Explore a realistic automated recruitment failure...
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Trust Dialogues Ep. 01 — Who Is Responsible When AI Goes Wrong?
Expert Insights
from industry leaders
Real-World Case Study
hands-on industry scenarios
Interdisciplinary
student participation
Practical Solutions
and key frameworks
Live Q&A
and interactive discussion
Meet the Expert Speakers
Real-World Challenge & Problem Breakdown
Key Questions Addressed
- How was the enterprise architecture and algorithm designed and validated?
- How should organizations proactively respond to cybersecurity and governance incidents?
- What regulatory, ethical, and compliance frameworks apply across global markets?
- Who assumes responsibility and decision-making during high-stakes technology failures?
- How can modern engineers and leaders build resilient, trustworthy systems?
Who Should Attend?
Curated for passionate learners aiming to stand out in the future of work.
Why Attend?
Key takeaways and career benefits designed into every session.
GAIDYN
GAIDYN is an institutional technology governance and digital trust platform advancing AI governance, cybersecurity, regulatory compliance, and data protection through professional education, applied research, and cross-border collaboration.
Pune, India
Cybersecurity / EdTech & Professional Training / IT Governance & Compliance
Startup (10+ Employees)
2025
gaidyn.com
Active Host
Authenticated Flarebox Learning Initiative
This learning series is co-hosted with verified representatives from GAIDYN. Registered participants gain official mentorship access and a verified certificate of completion co-signed by the partner organization.
Event Agenda & Curriculum Sessions
Who Is Responsible When AI Goes Wrong?
An interactive case-study challenge and multi-discipline dialogue examining non-deterministic AI algorithmic failures. Analyzes an enterprise scenario involving an automated hiring pipeline compromise with systematic demographic bias and training-data leakage across India and the GCC.
From AI Failure to Fix: Can We Make AI Recruitment Trustworthy?
Trust Dialogues :From AI Failure to Fix: Can We Make AI Recruitment Trustworthy? Date: Friday, 20 November 2026 Time: 6:30–8:00 PM IST Format: Online Interactive Workshop Organisers: GAIDYN × Flarebox #About the Session What happens when an AI system makes a decision that harms people? In the first episode of Trust Dialogues, we explored who should be held responsible when AI goes wrong. In Episode 02, we move from discussion to action. Participants will investigate a fictional AI recruitment incident in which a hiring system unfairly rejects qualified candidates and raises concerns about the handling of personal data. Working in interdisciplinary teams, participants will examine the evidence, distinguish facts from assumptions, identify potential risks, explore possible causes, and propose practical safeguards. No advanced AI expertise is required. We welcome students interested in technology, cybersecurity, law, business, management, and responsible innovation. # What Will You Do? - Investigate an AI incident using a structured case study. - Separate verified facts from assumptions. - Examine technical, security, privacy, and organisational risks. - Develop recommendations to address the incident. - Present your team's proposed safeguards. - Explore opportunities to participate in follow-on student research and innovation projects. # What Will You Gain? Experience how professionals from different disciplines approach the same AI failure. Learn how to structure an investigation, evaluate evidence, identify risks, and develop recommendations for more trustworthy AI systems. # Who Should Participate? - College students interested in AI and emerging technologies. - Computer science and cybersecurity students. - Law students interested in technology and privacy. - Business and management students. - Aspiring researchers and AI builders. - Anyone interested in the responsible development and use of AI. # What Happens After the Event? Participants interested in continuing the work may be invited to join a student-led research and development pilot. The proposed follow-on initiative will explore whether a simple AI-assisted investigation tool can help people analyse simulated AI incidents and document evidence-based recommendations. Participation in the follow-on project will be optional and subject to a separate scope and team agreement. # Our Purpose Trustworthy AI requires more than technical innovation. It requires people who can understand risks, challenge assumptions, investigate failures, and work across disciplines to develop better solutions. Trust Dialogues brings students and industry perspectives together to explore these challenges. Join the conversation. Investigate the problem. Help design a better solution.
Trust Dialogues Ep. 01 — Who Is Responsible When AI Goes Wrong?
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