According to Witty Works, a tool that detects biased language and suggests alternatives in real time, within companies, a diverse group of employees is more likely to be aware of how environmental issues affect different areas and communities, which allows the company to introduce strategies that reflect local needs.
The International Organization for Standardization (ISO) adds that balanced participation between genders improves the quality and applicability of the standards that this organization establishes, which translates into a drive for progress and innovation in all sectors.
Jacques told Expansión that at Lenovo, inclusion not only contemplates its employees and how they represent different cultures or genders, but they are working so that the products they produce also carry this seal.
As an example within the company, Jaques indicated that 29.4% of management functions are performed by women. Meanwhile, Lenovo’s latest ESG report states that its objective for 2025/26 is for the representation of women in executive roles globally to grow to 27%, compared to 20% in 2020.
“What we really want to focus on is providing opportunities (…) we have set a goal to improve the executive representation of women and underrepresented minorities in leadership positions (…) Each leader works with their HR partner to try to figure out its roadmap to achieve our general objectives,” explained the ESG leader.
Inclusion, technology and AI
According to Statista, AI is one of the technological areas with the greatest economic projection in the short and medium term. So much so that the value of the market could exceed the barrier of 300,000 million dollars by 2026. This figure is linked to the fact that more and more people use tools equipped with this technology, from industries, corporations and of course end users.
However, there is one area that developers still struggle with and that is AI bias. IBM describes this as the appearance of biased results due to human biases that distort the algorithm’s original understanding data, resulting in distorted and potentially harmful results.
From Jaques’ perspective this refers to a constant work of updating and educating AI and humans. With this, your systems can work better and include more and a greater diversity of people. The executive pointed out facial recognition as an example, an aspect in which different face shapes, skin tones, hair types, eye color, nose shapes, lips, cheeks and even disabilities must be considered.
On the other hand, he said that the company also evaluates whether its designs are suitable for use by various users.
“We review the AI and the hardware to make sure they are designed for diverse users, both in terms of our people and our products.”
But digital inclusion is not only about access to technology, but also about the possibility of fully participating in digital life, eliminating barriers and promoting skills. Jaques points out that they are working on it through the Lenovo Foundation.
“It (the foundation) has a kind of double focus, one is the donation of money and the other is the donation of equipment (…) and I would add a third, we are starting with the transfer of knowledge,” he comments.
Lenovo’s philanthropic arm uses its technology and global reach to help level the playing field in education and empowerment for future scientists. In addition to this, Jaques comments that they are training their partners in the use of AI and how they can take advantage of it to have a greater social impact.
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