Women are more concerned about some uses of artificial intelligence, including self-driving cars, in the US

Ladies in the US are extra skeptical than males about some makes use of of synthetic intelligence, significantly the potential widespread use of self-driving passenger autos, based on a brand new evaluation of Pew Analysis Heart survey knowledge collected in November 2021.

The evaluation additionally explores gender variations in views concerning the total influence of know-how on society and among the issues of safety related to AI functions, in addition to the significance of together with totally different teams within the AI ​​design course of.

Pew Analysis Heart carried out this examine to know gender variations in People’ views of synthetic intelligence and human enhancement methods. For this evaluation, we surveyed 10,260 American adults from November 1-7, 2021.

Everybody who took half within the survey is a member of the Heart’s American Attitudes Panel (ATP), a web-based survey panel recruited by nationwide random sampling of residential addresses. On this manner, nearly all adults in the US have the chance to decide on. The survey was weighted to be consultant of the grownup inhabitants of the US by gender, race, ethnicity, celebration affiliation, training, and different classes. Learn extra concerning the ATP methodology.

Under are the questions used on this evaluation, together with the responses, and its methodology.

Generally, ladies in the US much less Males usually tend to say know-how has had a largely optimistic influence on society (42% vs 54%) and extra We’re prone to say that know-how has each optimistic and unfavorable results (45% vs. 37%). Moreover, ladies are much less prone to say they really feel excited than males are to fret about elevated use of AI-powered pc applications in each day life (13% vs 22%). Gender stays a think about views on AI and the influence of know-how when accounting for different variables, resembling respondents’ political bias, training, race, and ethnicity.

A graph showing that women are more interested than men in a range of potential AI applications

Furthermore, throughout the vary of potential AI functions that the survey put ahead in November, ladies usually tend to persistently categorical issues about pc applications that carry out these duties than males. For instance, 43% of ladies say they might really feel very or considerably anxious if AI applications might diagnose medical issues, whereas 27% of males stated the identical. Gender gaps additionally seem within the quantity of concern People categorical concerning the capability of AI software program to carry out repetitive duties within the office, make vital life selections for individuals and find out about individuals’s ideas and behaviors.

Ladies really feel extra negatively than males about self-driving passenger autos

Along with gender variations about AI typically, ladies and men categorical totally different attitudes about self-driving vehicles particularly.

Bar graph showing that women are more likely than men to be suspicious of self-driving cars

Males are extra doubtless than ladies to reply positively to many questions on these compounds. Practically 4 in ten males (37%) say that self-driving vehicles are a good suggestion for society, whereas 17% of ladies say the identical. Ladies, in flip, are considerably extra doubtless than males to say they’re uncertain whether or not widespread use of self-driving autos is an effective or unhealthy concept (32% vs. 25%).

On an analogous observe, 46% of males stated they might positively or doubtless personally need to experience in a driverless passenger automotive if given the chance, in comparison with 27% of ladies. Most girls (72%) acknowledged that they might positively or doubtless accomplish that Not need to do that. Conversely, nearly all of ladies (54%) stated they might not really feel snug sharing the street with a driverless passenger automotive if its use was widespread. Solely 35% of males say the identical.

These variations could also be related to ladies’s larger skepticism concerning the security of self-driving autos. When requested concerning the impact of widespread use of those vehicles on the variety of individuals killed or injured in site visitors accidents, about half of the boys (49%) stated it could cut back the variety of lifeless or injured, in comparison with three: out of ten ladies say the identical. By a margin of 33% to twenty%, ladies are extra doubtless to consider the variety of accidents than males a plus.

Chart showing that women are more likely than men to oppose the use of self-driving car technology in a variety of vehicles

Ladies’s issues concerning the security of autonomous passenger autos prolong to different functions of self-driving programs as properly: 51% of ladies say they oppose the know-how getting used on public buses, in comparison with 35% of males. Ladies are additionally about 10 proportion factors extra prone to oppose using autonomous car know-how in 18-wheel vehicles, supply autos, taxis and ride-sharing autos.

Though these numbers can’t be immediately in comparison with earlier surveys attributable to adjustments within the wording of the questions, the present findings are according to a 2017 examine by the middle, which discovered that ladies are much less doubtless than males to say they need to experience in a self-driving car. The middle’s earlier analysis has additionally indicated that ladies are generally extra pessimistic than males about technological change on a bigger scale.

Women and men are totally different from different functions of synthetic intelligence

In addition to exploring public views on the potential use of driverless passenger vehicles, the middle’s survey in November additionally coated two different particular functions of synthetic intelligence: using facial recognition know-how by police and using algorithms by social media corporations to search out false info on their websites.

There are variations between ladies and men in among the questions associated to those functions. Though nearly all of women and men alike have heard of each use of AI, one clear sample is that males are extra doubtless than ladies to say they’ve heard or learn a minimum of a bit bit about every of the three applied sciences: driverless vehicles (93% vs. 83%), using face recognition by police (86% vs. 74%) and social media algorithms to search out false info (81% vs. 70%).

Ladies are additionally extra doubtless than males to say they aren’t positive whether or not sure functions of AI are a very good or unhealthy concept for society. About 34% of ladies are uncertain whether or not social media algorithms for locating misinformation are a very good or unhealthy concept, in comparison with 26% of males. In terms of using facial recognition by police, 31% of ladies aren’t positive whether or not it is a good or unhealthy concept, in comparison with 22% of males.

Gender variations within the design of synthetic intelligence methods

Ladies usually tend to help the inclusion of quite a lot of teams within the design of AI. For instance, two-thirds (67%) of ladies say it is extremely or crucial for social media corporations to incorporate individuals of various genders when designing social media algorithms to search out misinformation, in comparison with 58% of males. Ladies are additionally extra prone to say that you will need to embrace totally different racial and ethnic teams in the identical AI design course of (71% vs 63%).

As well as, ladies are extra skeptical than males that synthetic intelligence-powered pc applications may be designed that may persistently make truthful selections in advanced conditions. Solely two in ten ladies (22%) consider it’s attainable to design AI applications that may persistently make truthful selections, whereas a larger proportion of males (38%) say the identical. A majority of ladies (46%) stated they weren’t positive if this was attainable, in comparison with 35% of males.

Risa Gillies Watnick He’s a analysis assistant specializing in Web analysis and know-how on the Pew Analysis Heart.