Managing AI concerns in digital product

Integrating AI into your digital process is far from a “one and done” job. In actuality, using AI within your business is an ongoing process that should be reviewed throughout your product development lifecycle, wherever you use AI. Whether it’s from design and development to deployment and monitoring, you need to be keeping a close eye on its progression.

As such, before you start jumping into integrating AI into your digital products, care should be taken to ensure you do so done responsibly. Because ultimately, it is about pairing innovation with responsibility, to use AI to its full potential. But where do you start managing AI concerns? We’re here to uncover it all:?

The power of generative AI

If you aren’t aware of the transformative power of generative AI for businesses, we can only assume you’ve been living under a rock for quite some time! All jokes aside, it’s huge. So huge in fact that by 2025, generative AI will account for 10% of all data produced , up quite a jump from less than 1% in 2022.

But what does this mean for businesses specifically? Profit. And lots of it. According to a study by Accenture, businesses that successfully apply artificial intelligence (AI) could increase their profitability by an average of 38 percent by 2035.?

Yet as we harness AI's capabilities over the next few years, the ethical considerations it brings to the forefront demand a holistic, cross-company approach. This thoughtful yet critical approach involves collaboration among many professionals in your business.?

Strategies for managing AI concerns

From technical experts, policymakers, to diverse stakeholders, everyone in your organisation should all ensure AI's potential is maximised responsibly throughout the product lifecycle—from design and development to deployment and monitoring. But how can you achieve that? We suggest using the following strategies:

Maintaining transparency

AI should never become a black box. According to the Capgemini Research Institute, over 62% of organisations say transparency is the top factor in building trust in AI technologies. But what does this really mean in practical terms? Well it highlights the need for businesses to be able to explain their AI related decisions in understandable terms, internally and externally.?

To do so, you could think about using one or a mixture of the following:

1. Regular audits: Conducting regular audits of AI systems for accuracy, fairness, and transparency, and updating the systems based on audit findings.
2. Concise documentation and reporting: Keeping detailed documentation of AI algorithms, data usage, and decision-making processes, and making these documents available to relevant stakeholders.
3. Develop Explainable AI (XAI) Models: Tools and methodologies that help in making AI decision-making processes more understandable to humans.

Mitigating bias?

Following on nicely from the topic of transparency, AI systems often inherit and amplify biases from their training data, which ends up leading you to discriminatory outcomes. As stated by Forbes , “…It is crucial to recognise that the data generated by ChatGPT and similar AI models can contain errors or biases. Just because AI simplifies the content creation process does not imply that we should unquestioningly rely on the data it produces.”

So, what can we do to mitigate these security risks? The solution lies in developing best practices for secure AI development and deployment. For example, many organisations are adopting rigorous auditing practices for their data, algorithms, and system outputs. By using this approach to actively detect and correct biases, your business can enhance the fairness of AI applications and prevent discriminatory or regulatory practices.?

Implementing security measures

One of the biggest, if not the most pressing challenges for businesses and users alike is maintaining the security of their AI platforms. Why? It’s reported that cyberattacks involving AI have increased by almost half over the last year alone! So what can you do about it? We suggest businesses like yours implement several layers of robust security including data encryption, regular security audits, and anomaly detection algorithms to safeguard these technologies and your users.?

Providing human oversight?

If you think leaving AI to well, the AI is the right approach to integrating the technology into your products, think again. 92% of AI-aware executives believe that human oversight is critical to AI deployments , why? Because we simply offer a nuanced perspective that AI technology simply cannot recreate. What we mean by this is that your businesses AI systems must be designed to facilitate human intervention, including mechanisms for manual review and override capabilities. You know, just incase the robots do actually try to take over.?

Setting ethical principles

We all know rules keep us safe. Yet still, of 78% of businesses who acknowledge the importance of ethics in AI, only half have fully implemented ethical AI guidelines! So to keep your business and its users safe, you need to create and adhere to a set of ethical standards. then begin establishing governance boards to enforce these standards. By doing so, you can ensure all of your AI integrations are used responsibly.?

Monitoring and improving

As with most technologies, AI is far from a “set and forget” solution to your needs. Rather than being a static tool, AI is a dynamic one. One that requires ongoing continuous monitoring and improvement to maintain the integrity and effectiveness of your AI systems. By committing to this proactive approach of continual assessment and enhancement, your businesses can successfully safeguard against potential risks and maximise the benefits of your current AI investments.

Maximising your digital products with AI

Finding the time, let alone the headspace, to begin to manage concerns about AI in your business can be daunting. Fortunately, we know a thing or two about integrating AI into your operations in a way that empowers teams and accelerates your route to market. Our services have been helping businesses drive demonstrable ROI via digital transformations for almost 20 years. Read more about the areas of AI we think are worth investing in in our 2024 trends blog .?

Need help nailing your loyalty and retention? Discover the power of using AI to personalise your user journey! Join us on Wednesday, 26 June, as we bring together product and marketing leaders to learn how to unlock the full value of your data assets and implement AI to personalise your user journey.