What role does Responsible AI have in the Finance industry?

Ben Morris 24-Feb-2023 13:08:13

The use of Artificial intelligence (AI) in enterprise applications has grown significantly in recent years, and this trend is expected to continue. AI can potentially improve productivity, efficiency, and decision-making in various industries, but it also raises significant ethical concerns.

The financial sector is diverse, but commonalities exist regarding responsibly developing AI and machine learning (ML) algorithm-based applications. This blog looks at this issue in more detail. 

Responsible AI – what is it?

A key aspect of responsible AI for enterprise applications is ensuring that the technology is developed and deployed transparently and accountably, providing clear explanations for how AI algorithms make decisions. Another important consideration is the potential impact of AI on the workforce. As AI technology advances, it can displace jobs, requiring workers to adapt and learn new skills. Therefore, organisations must consider the potential effects of AI on their employees and develop strategies to support them through this transition.

Responsible AI for enterprise applications must prioritise the protection of personal data. AI systems often rely on large amounts of data to function, and ensuring that this data is collected and used ethically is paramount. This process includes obtaining consent from individuals before collecting their data and protecting it from unauthorised access or misuse. By taking these steps, organisations can help ensure that AI is used to benefit all stakeholders. In addition, companies must consider the potential impact of AI on employment and inequality, which can involve investing in training and reskilling programmes for employees who are affected by the adoption of AI and implementing measures to ensure that the benefits of AI are shared more widely, instead of being concentrated in the hands of a few.


The Financial sector and Responsible AI

Artificial Intelligence in financial services can bring many benefits, such as increased efficiency, improved accuracy, and faster decision-making. However, using AI also raises significant ethical and social concerns, such as the potential for discrimination, job losses, and the concentration of power and wealth in the hands of large companies. To ensure that the use of AI in the financial services industry is responsible and beneficial to society, companies must adopt an ethical and transparent approach to AI development and deployment. This adoption includes ensuring that AI systems are designed and trained to avoid bias and discrimination and are subject to appropriate oversight and regulation.

Organisations must be transparent about using AI and engage with stakeholders, including customers, employees, and regulators, to ensure that AI is in the best interests of all parties. This process can involve regularly disclosing information about the AI systems they’re using and providing opportunities for stakeholders to provide feedback and raise concerns.

At DSP, we offer IT services for finance, including data science services. In addition, we offer consultancy, application development and AI support to help finance businesses reduce costs and improve efficiency.