Than 170 million users in the us. The measure is the latest in a series of moves in washington to respond to Us National Security concerns about china, from connected vehicles to advanced Artificial Intelligence chips to cranes at us ports. Lets get the latest on this our north America Business correspondent erin delmore has been folllwing the vote from new york. Just how significant is this . Because it is the first stage, isnt it . ,. ,. , it . There is more to come. Exactly, ben. It it . There is more to come. Exactly, ben it sets it . There is more to come. Exactly, ben. It sets the it . There is more to come. Exactly, ben. It sets the table it . There is more to come. Exactly, ben. It sets the table for it . There is more to come. Exactly, ben. It sets the table for what ben. It sets the table for what could be further action and to be very specific, the action says that the company, the Chinese Company that owns tiktok would have to either divest, that mean cell, tiktok or face a ban in the United States. That itself could have implications on american National Security, small businesses, youth, the election, especially the voters and how they break between what is now a race between President Joe Biden and former president donald trump, and therefore do a couple of notable things about the vote today put up a rare moment of bipartisan support on capitol hill. We dont often see these lopsided numbers in the House Of Representatives but we did see this past overwhelmingly put lawmakers have centred around an argument that this proposes poses a National Security rest of the United States because they say that the 170 million users of tiktok in the United States are vulnerable to influence by the Chinese Government and having their data taken by the Chinese Government because of their close relationship. Now, we dont know exactly what happens next with this bill. We are happy to talk you through that. This bill. We are happy to talk you through that this bill. We are happy to talk you through that. Yes, yet i wanted to ask because through that. Yes, yet i wanted to ask because as through that. Yes, yet i wanted to ask because as we through that. Yes, yet i wanted to ask because as we discussed through that. Yes, yet i wanted to ask because as we discussed this | through that. Yes, yet i wanted to l ask because as we discussed this is the first stage in what could be a very long process. What happens next and he would be potential buyers for this . ~. , and he would be potential buyers for this . ~. ,. , ~ this . Well, that is a big if. And that is why this . Well, that is a big if. And that is why we this . Well, that is a big if. And that is why we see this . Well, that is a big if. And that is why we see a this . Well, that is a big if. And that is why we see a differencei this . Well, that is a big if. And i that is why we see a difference in phrasing here when we talk about divestments or selling. That is the argument from proponents of the bill. To hear them come out and say it, a band. They are coming up with a statement saying this is a ban and urging senators who will be the next two here and vote on this legislation to listen to their mobilising a campaign amongst its users to call their representatives and say they want to keep their access to this platform. That is the dichotomy being set up your foot an uncertain future in the senate. The Senate Majority leader has been noncommittal about whether he will even bring it up. The senate would have to bring it up for a vote and thenit have to bring it up for a vote and then it would go to the white house for President Joe Biden says he will sign it. But this is bound to be a Campaign Issue in this years election. That is because President Trump has recently come out and said he does not support this legislation and that is a big reversal. We actually proposed a ban on tiktok when he was in the white house which brings us to where this legislation could land . In the courts. We have seen the storyline before with this argument getting caught up in free speech, First Amendment conversations here. This well could be headed to the courts even if it is signed by president biden. Thank ou. I is signed by president biden. Thank you i have is signed by president biden. Thank you i have a is signed by president biden. Thank you. I have a feeling is signed by president biden. Thank you. I have a feeling we is signed by president biden. Thank you. I have a feeling we will is signed by president biden. Thank you. I have a feeling we will talk you. I have a feeling we will talk about this again a little bit later. Thank you. To strasbourg now where another vote has been taking place, over ai, the European Parliament approved the worlds First Comprehensive framework for constraining the risks of Artificial Intelligence. The sector has seen explosive, driving huge profits but also stoking fears about bias, privacy and even the future of humanity. The ai act works by classifying products according to risk and adjusting scrutiny accordingly. The laws creators said it would make the tech more human centric. Earlier i spoke to nader henein, Data Protection and ai analyst at gartner, a research and consulting firm. The law is, as you mention, quite simple. It wants organisations to categorise the use of ai simple. It wants organisations to categorise the use of al to one of four levels. Another is based on the risk to representative individuals. It is not a huge burden on organisations and innovators, organisations and innovators, Organisations Building Ai capabilities, it is also not much of a burden on them. Itjust mandates some care when developing ai capabilities. Some care when developing ai capabilities capabilities. Theyve called it, lookinu capabilities. Theyve called it, looking at capabilities. Theyve called it, looking at some capabilities. Theyve called it, looking at some of capabilities. Theyve called it, looking at some of the capabilities. Theyve called it, looking at some of the comments from some of those lawmakers, calling it a historic day in a long path to regulation of ai. This was first proposed in 2021. The market for al has changed so quickly in such a short space of time and so, even this Legislation Looks like it could be backward looking rather than forward looking, is that right . You forwardlooking, is that right . You are very correct forward looking, is that right . Gm. Are very correct in saying that because, back in this legislation, when they first started writing this legislation, ai when they first started writing this legislation, al was not as big of a deal as it is now. So a lot of the changes had been made to accommodate general purpose ai and even created a category for that within legislation but is it perfect . No it is not. Now there is any legislation on its first iteration. Look at the gd pi. That is four decades of development. Are going to see the same kind growth in this legislation on the subject of ai. Yes. Same kind growth in this legislation on the subject of ai. On the subect of ai. Yes, and im ust on the subject of ai. Yes, and im just looking on the subject of ai. Yes, and im just looking at on the subject of ai. Yes, and im just looking at how on the subject of ai. Yes, and im just looking at how they on the subject of ai. Yes, and im just looking at how they want on the subject of ai. Yes, and im just looking at how they want to l on the subject of ai. Yes, and im i just looking at how they want to use a risk based approach. They say the riskier the tougher the requirements and there will be announced the right ban on what is deemed to carry the most threat but therein lies the problem. He was making their subjectivejudgments on problem. He was making their subjective judgments on what is most risky . Subjective udgments on what is most ris . ,. ,. , subjective udgments on what is most ris . ,. ,. , risky . So, organisations are required risky . So, organisations are required to risky . So, organisations are required to do risky . So, organisations are required to do two risky . So, organisations are required to do two things. L risky . So, organisations are required to do two things. Document the usage of ai and then risk score each one of them. Now, if they risk score it to you leniently then they can be challenged on this either by or individual users saying we believe this is inaccurate so that is pretty much the same structure is the gd pi. You are responsible for the gd pi. You are responsible for the decisions and Risk Assessments you make and there is a space, forum in which you can be challenged. The big issue with this particular legislation is that it is unlikely gdp are in the sense that it doesnt come into effect in just two years, it has a staggered approach. In six months, rules around prohibited ai come into effect put up six months after that, the penalties and will amount general purpose and that the two year mark remaining rules come into effect with more changes at the three year mark so organisations now have two hustle to basically address requirements, do their Due Diligence and answer some hard questions because, as you mentioned, the prohibited use of ai comes with the highest finds at 35 Million Euros or 7 of the global turnover so organisations want someone to stand in front of the board and effectively say whether or not they are in line of fire. We effectively say whether or not they are in line of fire. Are in line of fire. We are going to sta with are in line of fire. We are going to stay with technology. We are going to stay with technology. When it comes to the fields of science, technology, engineering and maths, theres a persistent gender gap from education right through to the workforce. Research has long shown that girls are less likely to pursue studies in Stem Subjects than boys, thats science, technology, engineering and maths. In response to this inequality, Tech Firms In Denmark Have come together to develop and roll out a new Computer Game intended to spark curiosity and engage 7 to 12 year olds in science and technology outside of the classroom. From copenhagen heres adrienne murray. There is a problem. Girls are less likely than boys to study subjects likely than boys to study subjects like science, technology and maths. To tackle this issue, take buses here in denmark are now turning to gaming. We here in denmark are now turning to auamin. ~. , here in denmark are now turning to hamin. ,. , ~ here in denmark are now turning to uuaminr. ,. , ~ gaming. We had been talking about the lack of women gaming. We had been talking about the lack of women in gaming. We had been talking about the lack of women in the gaming. We had been talking about the lack of women in the stem gaming. We had been talking about the lack of women in the stem for l gaming. We had been talking about. The lack of women in the stem for so many years and the numbers are just not moving. Instead of trying to reach the girls when they are in high school or university, which is too late, we want to try to find them on the platform they choose to be on in this age before they lose the confidence in maths and science subjects in school. Subects in school. Secrets await on a subjects in school. Secrets await on a camus subjects in school. Secrets await on a campus full subjects in school. Secrets await on a campus full of subjects in school. Secrets await on a campus full of glam. Subjects in school. Secrets await on a campus full of glam. A subjects in school. Secrets await on a campus full of glam. A new subjects in school. Secrets await on a campus full of glam. A new game j a campus full of glam. A new game has been launched on road blocks, and Online Gaming platform where, just under half of its daily users are female. The idea here is to tap into girls love of gaming. And to introduce fun activities that keep up introduce fun activities that keep up their interest in areas Like Technology and science. 50. Up their interest in areas Like Technology and science. So, this is the Campus Technology and science. So, this is the campus area. Technology and science. So, this is the campus area. Players technology and science. So, this is the campus area. Players run technology and science. So, this is l the campus area. Players run around a virtual the campus area. Players run around a virtual campus, taking part in socalled a virtual campus, taking part in so called mini games. To win rewards for their so called mini games. To win rewards for their avatar. We try to make the games for their avatar. We try to make the games really fun and hard to do. But still have games really fun and hard to do. But still have some teaching part but without still have some teaching part but without making it a school game. So tell me without making it a school game. So tell me about some of the activities that the tell me about some of the activities that the girls can do . So you have to that the girls can do . So you have tojump that the girls can do . So you have tojump on that the girls can do . So you have tojump on this ice and Feed The Animals tojump on this ice and Feed The Animals before the ice is melting. But what animals before the ice is melting. But what of the girls playing it then . We make are having the mini games and it has been really fun, actually. Playing with friends and staff. , ~ staff. Really fun. I like finding Food For Animals staff. Really fun. I like finding Food For Animals and staff. Really fun. I like finding Food For Animals and taking i staff. Really fun. I like finding Food For Animals and taking pictures of animals. ,. Food for animals and taking pictures of animals. ,. ,. ,. , Food For Animals and taking pictures ofanimals. ,. ,. , of animals. Research shows that uirls of animals. Research shows that girls embrace of animals. Research shows that girls embrace stem of animals. Research shows that girls embrace Stem Subjects of animals. Research shows that. Girls embrace Stem Subjects around the age of 11 but towards 15, that interest tapers off. Roughly a third or less of Higher Education places in stem go to women. And that leads to a wide gender gap when it comes to a wide gender gap when it comes tojobs. Worldwide, only a quarter of those employed in stem belated careers are female. And for computer science, it isjust careers are female. And for computer science, it is just 20 . Careers are female. And for computer science, it isjust 20 . It careers are female. And for computer science, it is just 20 . It is a huge issue in the Technology Industry in general. We want that to diverse workforce. It is super important so that we actually create products that are for everybody in society. Do we absolutely need more girls and women in tech. Interesting to note this new approach can help bridge the inequality but its backers are hoping it will be game on. I guess it is time for me to try it myself. 0h those i got top Business Stories this hour. You are watching bbc news. She was a nurse for 35 years but when she was diagnosed with bowel cancer, she felt let down by the service she dedicated her life to. You actually aet told dedicated her life to. You actually get told that dedicated her life to. You actually get told that i dedicated her life to. You actually get told that i have dedicated her life to. You actually get told that i have got dedicated her life to. You actually get told that i have got cancer dedicated her life to. You actuallyl get told that i have got cancer was 80 days. Till i started my treatment, which i am now into my second week of chemo and radiotherapy, it has been a total of 158 days. Radiotherapy, it has been a total of 158 da s. ~ ~ radiotherapy, it has been a total of 158da s. ~~. ,. Radiotherapy, it has been a total of 158das. ,. , 158 days. 6696 of Cancer Patients in en. Land 158 days. 66 of Cancer Patients in england started 158 days. 66 of Cancer Patients in england started their 158 days. 66 of Cancer Patients in england started their treatment. 158 days. 66 of Cancer Patients in england started their treatment on j england started their treatment on time in december. But in south essex, bettina is being treated, that was just 47 . The trust has apologised to tina and says it is investigating. Some doctors are campaigning for the government to re prioritise cancer. Lets campaigning for the government to reprioritise cancer. Reprioritise cancer. Lets not retend reprioritise cancer. Lets not pretend there reprioritise cancer. 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