The Risks of Abandoning AI Liability Regulations

Op-ed: Abandoning the AI Liability Directive Brings Unacceptable Risks

Europe’s need to cut red tape is no secret. This issue frequently arises in discussions with businesses, whether they are startups, scale-ups, or established companies. The European Commission has pledged to deliver on this goal, yet doubts persist about the means to achieve it.

The AI Liability Directive (AILD), which the European Commission has decided to abandon, exemplifies this concern. Proponents of this decision argue that additional liability rules could stifle innovation and investment in Europe. However, scrapping the directive could achieve the opposite effect: by leaving companies without clear legal guidelines, the Commission will reduce their incentives to invest.

Legal Uncertainty: A Barrier to AI Innovation in the EU

Investors in Europe are already known for their risk aversion. As AI technologies increasingly interact with both the real and virtual worlds, the risks multiply, and the Commission’s decision adds legal opacity and fragmentation to the mix.

The chains of accountability remain unclear. Who is responsible when risks inevitably materialize—those who develop, deploy, sell, or design? What happens if they share responsibilities among each other? The search for these answers reveals a fragmented legal landscape.

Currently, companies dealing with AI-driven technologies have little idea how innovative the judge facing them might be, nor which of the 27 legal frameworks will confront them.

AILD’s Role in Europe’s Digital Rulebook

Some opponents of the directive argue that there’s no need for further regulation since the AI Act and the new Product Liability Directive (PLD) cover the same ground. This perspective is misguided. Neither the AI Act nor the revised PLD substitutes for the AILD.

The distinction is clear: the AI Act deals with pre-emptive risk management, guiding AI players on how to avoid harm. It does not address who is responsible after harm has occurred. The Product Liability Directive, conversely, covers damages following an incident, but these are different from those addressed by the AILD. The differences between product liability and producer’s liability are well-known and should be recognized by the Commission.

Without AILD, AI Risks Undermining Trust & Safety

AI harms often extend beyond product defects. For instance, what if AI causes damage in a professional context using professional tools? What if the harm arises not from a manufacturing defect but from inadequate user instructions? What if the injury results from a “rogue” AI behavior not rooted in technical fault but in deployment mismanagement?

A growing class of use cases involves programmers using generative AI without apparent defects to create applications that include AI elements. What if such privately used applications cause harm to third parties? Ignoring these scenarios represents not just a legal blind spot but a significant political liability.

The Commission must understand better. By refusing to adopt harmonized AI liability rules, it exposes businesses to a patchwork of national standards and conflicting interpretations, which is detrimental to the acceleration of AI uptake across the continent.

Instead of clarity, we encounter a game of legal roulette. In this case, harmonization does not imply overregulation; it represents smart, targeted, fact-based rules that provide both innovators and consumers with legal certainty.

The current opacity, seeming autonomy, and unpredictability for users complicate the pinpointing of responsibility. The AILD aimed to close these gaps through reasonable, modern tools like disclosure duties and rebuttable presumptions of fault—measures designed for AI’s unique risks.

The Commission’s vague hints about “future legal approaches” offer little comfort. Businesses need legal certainty now, not open-ended promises for the future.

At the heart of this debate lies a broader question: Do we genuinely desire a digital single market in Europe that transcends mere rhetoric? If the answer is affirmative, harmonization is essential and must be grounded in fact. Without it, we risk more fragmentation, not predictability; more confusion, not clarity. With its latest retreat, the Commission isn’t simplifying—it’s surrendering.

More Insights

Balancing Innovation and Ethics in AI Engineering

Artificial Intelligence has rapidly advanced, placing AI engineers at the forefront of innovation as they design and deploy intelligent systems. However, with this power comes the responsibility to...

Harnessing the Power of Responsible AI

Responsible AI is described by Dr. Anna Zeiter as a fundamental imperative rather than just a buzzword, emphasizing the need for ethical frameworks as AI reshapes the world. She highlights the...

Integrating AI: A Compliance-Driven Approach for Businesses

The Cloud Security Alliance (CSA) highlights that many AI adoption efforts fail because companies attempt to integrate AI into outdated processes that lack the necessary transparency and adaptability...

Preserving Generative AI Outputs: Legal Considerations and Best Practices

Generative artificial intelligence (GAI) tools raise legal concerns regarding data privacy, security, and the preservation of prompts and outputs for litigation. Organizations must develop information...

Embracing Responsible AI: Principles and Practices for a Fair Future

Responsible AI refers to the creation and use of artificial intelligence systems that are fair, transparent, and accountable. It emphasizes the importance of ethical considerations in AI development...

Building Trustworthy AI for Sustainable Business Growth

As businesses increasingly rely on artificial intelligence (AI) for critical decision-making, the importance of building trust and governance around these technologies becomes paramount. Organizations...

Spain’s Trailblazing AI Regulatory Framework

Spain is leading in AI governance by establishing Europe’s first AI regulator, AESIA, and implementing a draft national AI law that aligns with the EU AI Act. The country is also creating a regulatory...

Global AI Regulation: Trends and Challenges

This document discusses the current state of AI regulation in Israel, highlighting the absence of specific laws directly regulating AI. It also outlines the government's efforts to promote responsible...

AI and Regulatory Challenges in the Gambling Industry

The article discusses the integration of Artificial Intelligence (AI) in the gambling industry, emphasizing the balance between technological advancements and regulatory compliance. It highlights the...