Yes

Yes. If IRIS causes harm or shows biased performance, developers and deployers can be held accountable under product liability law, GDPR, and the EU AI Act, especially if they failed to meet safety, fairness, or risk-mitigation obligations.

Yes—there would be clear grounds for accountability if IRIS causes harm or unfair outcomes, under EU AI Act (provider obligations and liability), GDPR (discriminatory or unlawful processing), product liability laws, and negligence standards, especially if bias, inadequate validation, or lack of safeguards can be demonstrated.

Yes

If IRIS causes harm or shows bias, developers or operators can be held accountable. Safety technology must be properly tested and monitored. Accountability encourages responsible design and protects users from avoidable risks.

Yes, if IRIS causes harm or unfair outcomes due to bias or poor performance, there are clear grounds for accountability under product liability, data protection, and AI governance laws.

No at the moment

Under the EU AI Act and the revised Product Liability Directive, if an application like IRIS fails to perform as promised—particularly if it exhibits demographic bias or causes harm—it is treated as a defective product. Owners and developers are held to a "duty of care".

Depends if people are negatively affected by it

Yes, there are clear grounds for holding the application or its owners accountable if IRIS causes harm or produces unfair outcomes. Potential bases for accountability include: EU AI Act non-compliance, particularly failures in risk management, bias mitigation, or post-market monitoring. Product liability law, if IRIS is deemed defective or unsafe. Negligence, if known limitations or biases were not adequately addressed or disclosed. GDPR violations, if personal data is processed unlawfully or without sufficient transparency. High-risk classification increases the expectation that providers exercise heightened due diligence, making liability more likely where safeguards are insufficient.

Yes. Bias or risk was foreseeable

No

It depends

Yes

Yes.

Yes, as the IRIS models lack sufficient training

Yes, I do believe those in charge of implementing the software should be held accountable.