Tag: AI Regulation

What is AI governance? frameworks, risks and best practices

AI is rapidly transforming how organisations operate, influencing everything from automation and customer engagement to complex decision-making and risk analysis. According to Theta Lake,...

Managing AML total cost of ownership in 2026

As AML and CTF rules expand into sectors beyond banking, the financial burden remains heaviest on traditional financial institutions. Napier AI, a provider of next-generation...

Explainable AI and the future of financial crime prevention

As financial institutions accelerate their use of artificial intelligence to combat financial crime, explainability has moved from a technical consideration to a strategic priority. The...

AI regulation shifts as banks push for adoption

Regulatory attitudes towards artificial intelligence in financial services appear to be softening, as banks grow more confident that supervisors will increasingly support AI-led innovation. New...

State-level AI laws tighten focus on workplace bias

AI regulation has accelerated rapidly over the past few years, moving from broad federal policy discussions to more detailed rules emerging at state level. While...

When rules backfire: decoding regulatory risk

Regulations are designed to protect markets and ensure stability. They aim to build trust, mitigate risk and bring clarity to an increasingly complex financial...

Tietoevry: Generative AI still underused in Nordic enterprises

Despite significant industry buzz around artificial intelligence, Nordic companies remain hesitant to fully embrace its potential. According to a new study by Tietoevry Create, only 17% of IT decision-makers in Finland and Sweden believe AI is currently making a significant commercial impact.

How responsible AI shapes the ethical landscape of financial technology

Responsible AI encompasses the ethical development and application of artificial intelligence, prioritizing transparency, fairness, and legality across its operations. For the financial sector, this means deploying AI technologies that are not only efficient but also equitable and devoid of biases, ensuring that individual rights are respected throughout their lifecycle.

The deregulation dilemma: Balancing simplification with financial stability

The term "deregulation" is increasingly prevalent among global policymakers, with a common narrative about cutting through the bureaucratic red tape that supposedly stifles competition. Since the 2008 financial crisis, financial institutions have been operating under a dense regulatory framework designed to mitigate risks and uphold financial stability.

AI in financial crime compliance: Napier AI weighs in on FCA’s...

The Financial Conduct Authority (FCA) has been actively working to promote safe and responsible AI adoption in the UK financial sector. Last year, it published its AI Update to encourage outcomes-focused AI models. To further this initiative, the FCA recently launched its AI Lab, a collaborative platform for firms, stakeholders, and regulators to discuss AI use cases, share insights, and foster innovation while ensuring compliance.

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