Artificial Intelligence (AI) is no longer a futuristic concept, it has become an integral part of our daily lives. From virtual assistants and recommendation algorithms to self-driving vehicles and AI-powered healthcare systems, AI is transforming the way individuals, businesses and governments operate. While these technological advancements offer significant benefits, they also raise an important legal question: Who should be held responsible when an AI system causes harm?
Unlike traditional machines, AI systems have the ability to learn from data, adapt to new situations and make decisions with minimal human intervention. This unique characteristic makes assigning legal responsibility more complex. If an autonomous vehicle causes an accident, an AI recruitment tool discriminates against applicants, or an AI chatbot provides harmful advice, determining liability is far from straightforward.
One possible approach is to hold the developer or manufacturer responsible. Developers design the algorithms, train AI models and determine the system’s intended functions. If harm results from poor programming, inadequate testing, or foreseeable design flaws, they may be held liable under principles similar to product liability. Just as manufacturers are expected to ensure the safety of physical products, technology companies have a responsibility to ensure that AI systems are reliable, secure and reasonably safe before they are released to the public.
Another perspective is that businesses and organizations deploying AI should bear responsibility. A company that relies on AI to make decisions affecting customers or employees cannot simply shift blame to the software. Businesses choose to implement AI, decide how it is used and ultimately benefit from its operation. They therefore have a duty to monitor its performance, ensure human oversight where necessary and take corrective action when problems arise.
The responsibility of users should also be considered. While AI can assist decision-making, humans remain accountable for how they use these tools. For example, if a medical professional blindly follows an AI-generated diagnosis without exercising professional judgment, liability may rest partly with the individual. AI should generally be viewed as a decision-support tool rather than a complete replacement for human responsibility.
A growing legal concern is algorithmic bias. AI systems learn from historical data and if that data contains bias, the AI may unintentionally discriminate against certain individuals or groups. There have been cases where AI-powered recruitment systems disadvantaged female applicants because they were trained using historical hiring patterns that favoured men. Similarly, facial recognition systems have shown lower accuracy for certain ethnic groups. Such outcomes raise serious questions about fairness, equality and compliance with anti-discrimination laws.
Privacy is another major legal issue. AI relies heavily on vast amounts of personal data to improve its performance. However, collecting, storing and analysing personal information without adequate safeguards can violate individuals’ privacy rights. As AI becomes increasingly integrated into social media, finance, healthcare and education, organizations must ensure that personal data is handled transparently, securely and with appropriate consent.
Governments worldwide are beginning to respond to these emerging challenges. The European Union has introduced comprehensive legislation aimed at regulating AI according to the level of risk it presents. High-risk AI systems used in sectors such as healthcare, education, employment and law enforcement are subject to stricter legal requirements, including transparency, human oversight and accountability. These developments demonstrate that lawmakers increasingly recognize the need for legal frameworks that keep pace with technological innovation.
Sri Lanka, like many developing nations, is also embracing digital transformation. AI has the potential to improve public services, healthcare, education, agriculture and business efficiency. However, as AI adoption accelerates, the country will need robust legal and regulatory frameworks to address issues such as liability, privacy, consumer protection, cybersecurity and ethical AI development. Establishing clear rules today can help prevent legal uncertainty in the future while encouraging responsible innovation.
Ultimately, no single party should bear responsibility for every AI-related mistake. Instead, accountability should be shared among developers who create AI systems, organizations that deploy them and users who rely on their outputs. Such a shared responsibility model promotes innovation while ensuring that individuals affected by AI have access to legal protection and remedies when harm occurs.
Artificial Intelligence promises to reshape society in remarkable ways, but technological progress should never outpace legal accountability. As AI continues to evolve, the law must evolve alongside it. Striking the right balance between encouraging innovation and protecting fundamental rights will be one of the defining legal challenges of the twenty-first century. By developing ethical standards, effective regulation and clear accountability, society can harness the benefits of AI while ensuring that justice remains firmly in human hands.
Written By: –
Rtr. Dulran Gajaba
(General Member 2026-27)
Design By: –
Rtr. Pesandi Senawatta
(Senior Blog Team Member 2026-27)
