Banks’ Ethical AI Practices Under Scrutiny: The Importance of Transparency and Accountability in the Finance Sector

Artificial intelligence (AI) is revolutionizing the financial sector, making banking more efficient and effective than ever before. However, the rapid advancement of AI has also raised concerns about how it is being developed and used. Banks must take responsibility for their role in the development of responsible AI and ensure they remain transparent in how they apply it. A new report by Evident, a London-based non-profit organization focused on ethics and emerging technologies, highlights the lack of transparency among some of the largest banks regarding responsible AI development.

Overview of Evident’s AI Index Findings

The report shows that eight of the 23 largest banks in the US, Canada, and Europe are failing to provide any public responsible AI principles. Evident’s AI Index found that these banks are failing to disclose their approaches to responsible AI development, raising concerns about their transparency and trustworthiness.

Alexandra Mousavizadeh, the Director of Research at Evident, commented, “Our research found a worrying lack of transparency around how AI is already used—and how it may be used in the future—which could damage stakeholder trust and stifle progress.”

Banks are taking proactive steps

While the findings in the report are concerning, the report also notes that many financial institutions are taking proactive steps to address AI concerns and are developing internal programs for responsible AI. As an industry that is highly regulated, banks have a responsibility to ensure that they remain transparent in their approach to AI development. Many institutions are already doing this and are working with organizations and universities to develop ethical AI policies.

Transparency Among Banks

The Evident Index reveals that Canadian banks are the most transparent regarding AI reporting, while European banks are the least transparent. North American banks are more likely to hire specific responsible AI roles, while European banks tend to lead responsible AI within their data ethics teams.

JPMorgan Chase & Co, Royal Bank of Canada, and Toronto-Dominion Bank

The report highlights three banks that are leading the way in transparency regarding responsible AI development: JPMorgan Chase & Co, Royal Bank of Canada, and Toronto-Dominion Bank. These banks have a demonstrable strategic focus on transparency around responsible AI, as evidenced by their efforts to create specific responsible AI leadership roles and publishing ethical principles and reports on AI. Additionally, they have partnered with relevant universities and organizations to develop responsible AI policies.

Difference between North American and European Banks

There are some differences in how North American and European banks approach responsible AI. As previously mentioned, North American banks are more likely to hire specific responsible AI roles, while European banks tend to lead responsible AI within their data ethics teams. European banks may be viewing responsible AI through a lens of data ethics, potentially missing out on the benefits of creating AI-specific roles.

Links between responsible AI and data ethics

The report shows that banks are trying to work out the links between responsible AI and data ethics. It is important to take a holistic approach to the development of responsible AI, which includes ethical considerations such as fairness, accountability, and transparency. Banks are beginning to recognize the importance of ethical AI and are taking steps to ensure that their AI applications are responsible and transparent.

The report by Evident highlights the need for banks to improve their transparency around responsible AI development. While many banks are taking proactive steps to address AI concerns, there is still much work to be done to ensure that banks are responsible and transparent in how they develop and use AI. The links between responsible AI and data ethics must be taken into consideration by banks as they develop AI applications to ensure transparency and accountability in the use of this powerful technology.

Explore more

How Is Check Point Addressing New Zero-Day Attacks?

The Netherlands’ National Cyber Security Centre has recommended disabling implied VPN rules for gateways that cannot be immediately patched. This urgent advisory follows a series of sophisticated cyberattacks targeting critical infrastructure managed by Check Point security systems. On July 23, sophisticated threat actors successfully exploited a previously unknown zero-day vulnerability in the Check Point Security Management Server, designated as CVE-2026-93616.

How Is AI-Native Infrastructure Rebuilding the Enterprise?

The initial phase of AI adoption focused on individual productivity, but the current era emphasizes the unglamorous work of structural integration. Recent data reveals a stark contrast between the enthusiasm for artificial intelligence and the financial reality of its deployment. While 44 percent of organizations claim to be scaling these technologies, only a mere 20 percent have successfully integrated AI

How HR Supports Employees During Separation and Divorce

The silent struggle of a crumbling marriage often manifests in the subtle tremor of a hand reaching for a morning coffee or a sudden lapse in a once-impeccable professional focus. When a long-term partnership dissolves, the shockwaves rarely stop at the front door; they follow the employee directly into the office, affecting stamina and mental clarity. Productivity loss associated with

How Companies Can Prevent Middle Manager Burnout This Fall

The crisp arrival of September traditionally signals a season of renewal, yet for the middle managers holding corporate structures together, it often functions as a high-velocity collision between summer exhaustion and the unrelenting pressure of year-end targets. While the broader workforce often returns from vacation with a sense of restored energy, those tasked with operational oversight frequently find themselves depleted

How Can You Build a Strong AI Governance Framework for CX?

Introduction Establishing a rigorous oversight structure for automated customer service tools requires far more than merely selecting the most advanced software available on the current market today. In 2026, enterprise contact centers rely on artificial intelligence to handle an overwhelming majority of customer interactions, yet many organizations still lack a unified strategy for accountability. This article explores the essential steps