Few are taking action towards responsible AI, despite widespread desire.

Few are taking action towards responsible AI, despite widespread desire.

The Importance of Responsible AI: A Call for Leadership


In a recent survey conducted by technology company Conversica, it was revealed that nearly nine out of ten business leaders agree on the importance of having clear guidelines for artificial intelligence (AI) ethics and corporate responsibility. However, the survey also found that only a small percentage of these leaders have actually implemented such guidelines. This disconnect highlights the need for technology professionals to take the lead in ensuring the safe and ethical development of AI initiatives.

The survey, which collected the opinions of 500 business leaders, emphasizes the significance of well-defined guidelines for the responsible use of AI within companies. The report states that guidelines and policies addressing responsible AI should incorporate governance, unbiased training data, bias detection and mitigation, transparency, accuracy, and the inclusion of human oversight. These guidelines are essential for ensuring the ethical and responsible deployment of AI technologies.

Interestingly, the survey revealed that even among companies already using AI, a significant number of leaders admitted to having limited or no knowledge about their organization’s AI-related policies. This lack of awareness indicates a leadership gap when it comes to making responsible AI a reality. It is crucial for technology leaders and line-of-business professionals to step up and ensure that responsible AI practices are in place.

The survey also identified the leading use cases for AI, which include powering engagement functions such as customer service and marketing, as well as producing analytic insights. However, the top concerns expressed by executives regarding AI outputs are the accuracy of current-day data models, the potential for false information, and the lack of transparency. Clearly, there is a need for AI providers to provide more information to aid in the formulation of guidelines, especially in areas such as data security, transparency, and the creation of ethical policies.

When it comes to the use of generative AI tools like Chat GPT, the survey found that around two-thirds of businesses have implemented rules. However, a significant percentage (20%) stated that their companies are allowing individual employees free rein to use AI tools for the foreseeable future. This highlights the varying approaches businesses are taking in establishing guidelines for AI usage.

To address these concerns and promote responsible AI practices, technology leaders can learn from Google’s AI team, which has shared some key guidelines. These guidelines emphasize the need for a human-centered design approach, incorporating feedback from diverse users and use-case scenarios, setting concrete goals for fairness and inclusion, checking systems for biases, stress testing on difficult cases, conducting rigorous testing, and using gold standard datasets.

While there may be pressure to rapidly implement AI initiatives, it is crucial to ensure that the tools and models used are accurate, fair, and responsible. Businesses must recognize that AI should be deployed responsibly in order to achieve reliable and ethical results every time. The survey’s findings underscore the need for technology professionals to take a leadership role in shaping the future of AI, ensuring its benefits are realized while minimizing potential risks. By adopting responsible AI practices, businesses can foster trust among users, stakeholders, and society as a whole.