Skip to main content
Perceptio Lab
Regulation

When AI Gets it Wrong, Who Takes the Blame?

In an era increasingly defined by artificial intelligence and with more and more cases of AI-related harm coming to the fore, a pressing question emerges: who bears the liability when an AI delivers a biased, discriminatory or otherwise harmful outcome or output?

5 min readBy Megha Kumar
Briefing details
Regulation
Outlet
Business Reporter
Published
Updated
Reading time
5 min read
Author
Megha Kumar

Share

When AI Gets it Wrong, Who Takes the Blame?
Cover image for When AI Gets it Wrong, Who Takes the Blame?

Executive summary

Board briefing at a glance
Distilled for CISO, CTO, and board audiences.

Key takeaways

  • The businesses that will thrive in the AI era are those that not only innovate but also implement strong governance, compliance and transparency frameworks.

Business impact

As with any other business tool, if an AI application causes harm, through inaccurate decision-making, IP infringement, or cyber-security vulnerabilities, the organisation using or deploying the system is generally responsible.

Recommendation

To harness AI responsibly and sustainably, organisations need to take a holistic approach, combining data governance, vendor accountability, regulatory monitoring, and ethical oversight.

M

Megha Kumar

CEO

Dr Megha Kumar is a reputed domain expert on geopolitics, AI and digital regulation.

LinkedIn15 published articles

Artificial intelligence (AI) is no longer a future concept; it is an operational reality reshaping every major industry. From manufacturing and financial services to healthcare and logistics, AI technologies are driving productivity gains, cost reductions and entirely new business models. The technology’s potential to enhance efficiency, democratise access to information and enable sustainable practices is unmatched.

 Yet alongside these benefits, AI also introduces new categories of business risk. Disruptions in labour markets, exposure to algorithmic bias, data privacy breaches, intellectual property infringement and legal uncertainty.

 In an era increasingly defined by artificial intelligence and with more and more cases of AI-related harm coming to the fore, a pressing question emerges: who bears the liability when an AI delivers a biased, discriminatory or otherwise harmful outcome or output?

...

Read full article

[Photo by Adi Goldstein on Unsplash]

Looking to keep AI governance continuously aligned to evolving best practice and regulations?
Explore our expert-powered Digital Risk Management Platform or contact us for advisory support.

Continue reading

Further briefings aligned to this exposure area.

Who Is In Charge? How to Obey AI Regulation
Regulation
4 min read

Who Is In Charge? How to Obey AI Regulation

AI adoption in insurance will continue to accelerate and insurers will need to remain responsive and alert as regulation and legal expectations evolve in parallel.

  • Artificial Intelligence
  • Regulation
  • Insurance
Insurance DayRead insight →
Experts Share: What Impact Does DeepSeek Have On The AI Startup Scene?
Geopolitics
1 min read

Experts Share: What Impact Does DeepSeek Have On The AI Startup Scene?

DeepSeek underlines China’s commitment to AI development and the quality of the country’s resident AI talent.

  • Geopolitics
  • Supply Chain
  • Artificial Intelligence
  • Technology
TechRoundRead insight →
Unmasking the Political Threat of Deepfakes
Geopolitics
2 min read

Unmasking the Political Threat of Deepfakes

From Slovakia’s 2023 ballot to paid fake ads on social platforms, synthetic media is undermining democratic processes and public confidence — a growing threat with few safeguards in place.

  • Artificial Intelligence
  • Geopolitics
  • Technology
  • Regulation
Business QuarterRead insight →

Get in touch

Request Platform Demo

Book a slot