00:00Luz Maria was trying to rebuild her finances at age 60, following a difficult few years.
00:06A family health crisis and the pandemic had strained her household income.
00:11She cares for her son, her mother and a sister with a disability.
00:15Luz Maria eventually settled her credit card debts.
00:18But banks continued to reject her applications for a new card, pointing to her credit history.
00:24First of all, I'm single and believe it or not, there's this idea here that if you don't have a
00:30man by your side,
00:31you're not responsible or you're not trustworthy.
00:36Her experience reflects a wider problem.
00:38In 2024, only 73% of women in Mexico had at least one formal financial product,
00:44like a savings account, a loan or insurance package.
00:48By comparison, about 81% of men in Mexico had one.
00:52At the same time, women were slightly less likely than men to fall behind on loan repayments.
00:57Yet they were still charged higher interest rates on average.
01:00So, what happens when lenders change the way they assess risk?
01:04Fintech companies like Story that offers credit products to underserved customers are increasingly using AI.
01:10But that comes with its own challenges.
01:14There is a risk that artificial intelligence could widen gender gaps by reinforcing stereotypes
01:20that do not benefit women.
01:26Part of that problem lies in the data used to train AI models.
01:30AI and fintech expert Daniela Camberos explains.
01:35When the fintech companies I worked for were using these models, it was clear that women were being sidelined.
01:42When they were given more opportunities, you realized that women were actually much better at repaying loans than men.
01:50Traditional credit systems focus on what a person owns or their credit history.
01:54But many women have less access to property or other assets that can be used as guarantees.
02:00Story says its models can instead look at additional information such as bills paid on time or spending patterns.
02:08When we incorporate a gender perspective, you consciously have to tell the artificial intelligence.
02:14When it's a woman, give extra weight to the alternative income she's going to mention and not to the credit
02:20bureau.
02:22This is where people play a key role in deciding what information the model uses, how it is weighted and
02:29whether the results need to be adjusted.
02:31For women like Luz Maria, this is an opportunity to be assessed on fairer terms.
02:37There are now some impressive investigative tools available so they can find out about the person, their track record, their
02:45payments and so on.
02:47And based on that, establish criteria that would allow them to be a little more confident in dealing with women.
02:54There are often times when women have several permeated and other passwords available.
02:56We'll see why some women, especially women can't end up in their own relationships.
02:57The first is who has been identified with women in travel,
02:59This is where women can share their own relationships with women.
02:59We know, there are a lot of different types of people in their own relationships.
03:00We are often different from the dude's friend.
03:00You
