In mid-September, the ODA network hosted the CEO Executive Roundtable for more than 50 CEOs from the tech industry to discuss one of the hot topics in the digital world: Artificial Intelligence (AI). More specifically, the leaders gathered to share insights on how AI can drive inclusive innovation.
How organizations use AI today
Surprisingly, according to a report provided by Abelia, only 15% of companies in Norway actively use AI in their daily work. But what is AI even? With the topic of generative AI, an AI that can generate new content such as images, video, text, music, speech, product designs and software code that appears to be human-made, based on natural language queries (Gartner), many forget that AI has been around for a long time, supporting businesses with chatbots, spam filters, proof-reading, translating, content curation and recommendations, or predictive search algorithms, to just name a few examples that people might not recognize as AI right away. Meaning the actual percentage of businesses using AI is likely a lot higher.
Directing Risks and Benefits of AI
For organizations, that means it's high time to implement guidelines on the usage of AI on the job. One of the prime directives should be mindfulness in what data you feed your tools with. The technologies often collect vast amounts of information, potentially causing data security and privacy issues. To mitigate these risks, strict digital security regulations need to be implemented, and people should be trained in secure information handling.
A second essential responsibility is critical thinking when interpreting output. A lack of transparency in the data an AI has been trained with or in how it comes to a conclusion can pose pressing risks, especially in decision-making processes, and can lead to severely biased results.
AI for Inclusive Innovation
Investing in diversity for AI training data among the people in an organization will not only reduce discrimination but also lead to new perspectives and inclusive innovation. So it did, for example, in the case of Microsoft software engineer Swetha Machanavajhala, deaf since birth, who essentially built the background-blurring feature for Microsoft Teams and Skype to be able to read conversation partner’s lips better, which is now one of the most used AI-powered features on these platforms.
