Belona Sonna is a Ph.D. candidate in the Humanising Machine Intelligence program at the Australian National University. She earned a bachelors degree in software engineering and a masters in computer science from the University of Ngaoundere, Cameroon, before joining the African Master in Machine Intelligence scholarship program at the African Institute for Mathematical Sciences in Rwanda. Her current research focuses on explainability and privacy preservation in AI-based solutions for health care applications. Sonna has been named one of 2022’s 100 Brilliant Women in AI Ethics.
|RAI constrains AI-related innovation. Strongly disagree||
“If we consider an innovation to be a technical or scientific change in a process aimed at improving the use of a service, then AI is undoubtedly the innovative means of our era and of the future. Every day, new models are produced with ever greater predictive capabilities. However, most of them are complex and difficult to explain to the average user, which makes their adoption in society difficult. Of course, it is legitimate that people want to understand why and how decisions affecting their daily lives are made. So is it necessary to create increasingly powerful models if they are not ultimately exploited in our societies?
RAI is the way to couple the computational power of AI with a social dimension necessary to build and keep a trustworthy relationship with end users. Thus, rather than a being constraint, RAI aims to move AI-related innovation from the technical to the social dimension needed to improve people’s lives through bias-free solutions. Of course, considering RAI rules may reduce the accuracy of models slightly, but then again, what really matters? Demonstrating the computational power of models, or putting that computational power to the benefit of humans? ”
|Organizations should tie their responsible AI efforts to their corporate social responsibility efforts. Strongly agree||
“Corporate social responsibility efforts consist of four responsibilities: environmental, ethical, philanthropic, and economic. Simply put, social responsibility efforts are about companies maximizing profits while respecting society. Therefore, I am all for organizations combining their responsible AI efforts with their social responsibility efforts, as they both have the same goal. When building an AI model, the goal is to use the power of AI algorithms to make profits; on top of that, responsible AI aims to produce solutions that are ethical, environmentally friendly, trustworthy, and explainable.
Beyond designing AI-based solutions, organizations involved in responsible AI establish a close relationship between solutions and society by incorporating values that place humans at the center of development. In such a context, people are more likely to use, trust, and recommend the products: The organization is accountable and can get a lion’s share of the market. Furthermore, through this relationship, the organization is more aware of society’s needs and concerns and is therefore able to produce solutions that matter to it. This is a key to business success and innovation.”
|Responsible AI should be a part of the top management agenda. Strongly agree||
“Like communication strategy or business strategy, responsible AI is a decision-making strategy that every company’s management team should develop and ensure its implementation within its business. To this end, it is essential that this strategy is present in the daily life of the company through the activities of development. Several reasons can justify this point of view; indeed, if subscribing to responsible AI is a commitment that a company makes that all its AI-based solutions must respect certain standards, then a systematic surveillance must be done during the development process to ensure the feasibility. In addition, the company must frequently update itself on the evolution of its standards, which are very often proposed by external agencies, in order not to face any external censure or prejudice.
Furthermore, the decision to subscribe to responsible AI must be carried out by the management team for its implementation to be effective. As the decision makers of the general policy of the company, it is up to them to assert what should be done by reminding the executors of the expectations and goals of the company by any means.”