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Watch Benjamin Alarie, co-founder and CEO of Blue J Legal, discuss the expanding role of artificial intelligence in tax with contributing editor atTax Notes FederalBenjamin Willis.

Here are some highlights

On machine learning and tax law

Benjamin Alarie: Whenwe talk about machine learning and artificial intelligence of the law, what we're doing is talking about collecting the raw materials, the rulings, the cases, the legislation, the regs, all that information, and bringing it to bear on a particular problem. We're synthesizing all of those materials to make a prediction about how a new situation would likely be decided by the courts.

. . . Law should be predictable. We have lots of data out there in the form of rulings, in the form of judgments that we can collect as good examples of how the courts have decided these matters in the past. And we can reverse engineer using machine learning methods how the courts are mapping the facts of different situations into outcomes. And we can do this in a really elegant way that leads to high quality prediction. So predictions of 90 percentor better accuracy about how the courts are going to make those decisions in the future, which is incredibly valuable to taxpayers to tax administration and to anyone who's looking for certainty, predictability and fairness, in the application of law.

On the availability of artificial intelligence

Benjamin Alarie: We're doing a lot to make this technology available throughout industry. Law firms are increasingly seeing this as one of the tools that they need to have in order to practice tax as effectively as possible. Academic programs see using this kind of technology [as]a huge boost for their graduates who are going to go into practice being familiar already with the leading tools for how to leverage machine learning and artificial intelligence. Accounting firms are also quite interested in this approach too because it has huge implications in terms of speeding up research [and] doing quality assurance . . .

On the moldability of results

Benjamin Alarie: You can play with different dimensions. You can swap out that assumption of fact, swap in a different assumption of fact, and see how that's likely to influence the results. So, then you can do scenario testing to really get comfortable with how much risk there is in a particular situation as the one providing a new opinion or providing advice to a client. That's really reassuring. You might say, Okay, I need to get this to 80 percent probability. I'm not willing to bite off more than that . . . Or you might be like, Well, I have a really risk-loving client. I just need to get to 51 percent . . . [machine learning] allows you to really calibrate the amount of risk that you're taking on, depending on the risk appetite of the client and your comfort as the practitioner.

Benjamin Willis, contributing editor with Tax Notes Federal, and Benjamin Alarie, co-founder and CEO ... [+] of Blue J Legal, discuss the expanding role of artificial intelligence and machine learning in the government, academia and tax practice.

On artificial intelligence and the courts

Benjamin Alarie: [Machine learning] is a great tool to encourage settlement between the parties, and so I think we're increasingly seeing that phenomenon where the party with the really strong position is using this to support their argument. They say, Don't take our word for it. We ran it on this independent system. . . Here's the report from the system saying that we have a 95 percent or better chance of winning this case. Are you still sure you don't want to enter into terms of settlement? That's often very convincing to the other side, who then run their analysis through the same system and they say, Okay . . . It's not nearly as strong as we thought it might be. Maybe we should talk about settling this and that saves judges from having to contend with cases that really aren't the best use of their time because it's pretty clear how those cases should get decided.

On artificial intelligence and low-income taxpayers

Benjamin Alarie: There are early adopters at these low income taxpayer clinics across the country who are interested in using technology to allow them to give faster advice to the low income taxpayers . . . Folks understand increasingly how to use the software and how it can materially assist their clientele and so the goal is to learn from those early adopters and to figure out how to position the software to help as much as possible in other clinics where maybe we don't have early adopters present, but who could still genuinely, really benefit from this.

Read more:
The Expanding Role Of Artificial Intelligence In Tax - Forbes

The Transportation Security Administration is planning to increase and share information it collects, including that gleaned from employees, with other federal agencies and the private sector in an effort to prevent insiders from perpetrating various harmful malfeasance.

Artificial Intelligence, probabilistic analytics and data mining are among tools the agency lists in a document it issued today loosely outlining the problem and the plan to create an Insider Threat Mitigation Hub.

The Insider Threat Roadmap defines the common vision for the Transportation Systems Sector that insider threat is a community-wide challenge, since no single entity can successfully counter the threat alone, TSA Administrator David Pekoske wrote in an opening message.

In July 2019, a surveillance camera at the Miami International Airport captured footage of an airline mechanic sabotaging a planes navigation system with a simple piece of foam. The TSA road map describes this incident along with a number of others dating back to 2014 spanning a range of activities including terrorism, subversion and attempted or actual espionage, to stress the need for a layered strategy of overall transportation security.

A TSA press release identified three parts of that strategy as promoting data-driven decision making to detect threats; advancing operational capability to deter threats; and maturing capabilities to mitigate threats to the transportation sector.

Under the first objective, TSA plans to develop and maintain insider threat risk indicators, which could include behavioral, physical, technological or financial attributes that might expose malicious or potentially malicious insiders.

We must identify key information sources, and ensure they are accurate and available for use in informing risk mitigation activities, the document adds.

For the second objective, the document describes information-sharing plans with other federal agencies and industry.

We will establish an Insider Threat Mitigation Hub to elevate insider threat to the enterprise level and enable multiple offices, agencies, and industry entities to share perspectives, expertise, and data to enhance threat detection, assessment, and response across the TSS, the document reads. This capability will allow us to fuse together disparate information points to identify intricate patterns of conduct that may be unusual or indicative of insider threat activity and drive enhanced insider threat mitigation efforts.

Meeting the third objective would require seeking out the appropriate technology to improve detection and mitigation of insider threat TSA writes, and expanding it throughout the agencys supply chain.

TSA pre-empted concerns usually associated with massive data collection practices by including the protection of privacy and civil liberties among the guiding principles it said would accompany its efforts.

Continue reading here:
TSA Issues Road Map to Tackle Insider Threat With Artificial Intelligence - Nextgov

In the current scenario, COVID-19 doesnt seem to have an end as this virus does not discriminate based on caste and creed. This pandemic situation has brought the world to a standstill and forced the plans of every individual to be rethought in a different dimension altogether concerning the new economic crisis that can be visualized by the experts.

We have always observed how things get outmoded with time and in the case of technology, it is even at a rapid rate. Keeping this theory in mind everyone is afraid about the changes in technology that will take place post the pandemic bringing concern in various fields. The effect is going to be massive and long-lasting, but we need to learn a lot of things with the current situation and be ready for any kind of further circumstances impacting the lives and bringing it to a standstill.

As human beings are learning, machines also need to be more advanced to understand these situations and react early and alert us for the upcoming catastrophes. Artificial Intelligence also termed as self-learning mechanism for the machines needs enormous advancement to make them future-ready. At present, the AI is evident in the areas of Healthcare, Automotive, Cybersecurity, Video games, Military operations etc.

Speaking with Safura Begum, CEO of Inventateq, he mentioned that Artificial Intelligence is going to be the future for all the technologies being developed. Describing in detail on the topic he mentioned cited the role of AI in the healthcare industry. The innovation of technology in the medical field has helped the researchers identify the diverse methods of treatment more rapidly. It has also helped in doing the research work at a faster rate and achieve the results with supreme accuracy than those testing without AI. He seemed to have complete conviction in the Doctors and researchers that the pandemic situation will be controlled soon and everything will get back on track. Further, he mentioned that the healthcare industry that he can visualize today wouldnt have been possible without the intervention of AI in the sector.

Speaking on the advancement of artificial intelligence in the specific sector, he said that there is always a room for the new invention and hopefully in the coming years we will experience the AI in a new way where it will be able to detect the syndrome at a very primary stage, along with the cure and prevention at the first place so that we will never see this kind of situation in the future ever again. He also mentioned about the use of AI to identify the potential threat (the carriers of the virus) of COVID-19 that has been undertaken by Google and Apple by tracking the movements of the infected publics, which is possible with the history of map location, thus it will play an important role in detecting the spread of the virus.

When asked about the loss due to COVID-19, he mentioned his grief and said that education is the key to success and with education and its advancement we can recover the losses except for the life of human beings lost. Taking the conversation to the next level, Safura mentioned that we need to analyze what we need to learn and unlearn at the first place. The time that we lost will not return, so we must prioritize our learning curve and focus on the same. He added that the new requirements that the industry is going to have are very much important and needs to be considered by the individuals before taking up any course.

The current trends are indicating that there will be survival for the fittest, it is very much necessary to analyze our core strength and act accordingly to fit in the market. AI is going to play an important role in the course design and its delivery in the future. As the scenario has changed due to lockdown and there has been a halt in almost all the industry, there is going to be a hunger for education so that the people will try to outcast others in all possible ways. In this scenario, everyone must be very careful while choosing any stream for their education.

Talking about the national level of education and its impact, Safura Begum mentioned that Artificial Intelligence is going to play a very important role in understanding the needs of the students. When there is less time, the important and urgent graph needs to be plotted properly so that everyone gets the benefit. The plotting for the country like India needs to be very much accurate otherwise the consequences can be different.

Excerpt from:
Artificial Intelligence: Technology Of The Future - Forbes India

The Promise Of Artificial Intelligence In Chillers And Rooftops | 2020-05-15 | ACHR News This website requires certain cookies to work and uses other cookies to help you have the best experience. By visiting this website, certain cookies have already been set, which you may delete and block. By closing this message or continuing to use our site, you agree to the use of cookies. Visit our updated privacy and cookie policy to learn more. This Website Uses CookiesBy closing this message or continuing to use our site, you agree to our cookie policy. Learn MoreThis website requires certain cookies to work and uses other cookies to help you have the best experience. By visiting this website, certain cookies have already been set, which you may delete and block. By closing this message or continuing to use our site, you agree to the use of cookies. Visit our updated privacy and cookie policy to learn more.

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The Promise Of Artificial Intelligence In Chillers And Rooftops - ACHR NEWS

Couples are putting their trust in artificial intelligence to help them become parents, with an Australia-first trial proving a success.

Sarah and Tim Keys from Queensland have been trying to conceive for a number of years and after suffering a number of miscarriages decided to turn to IVF.

When their GP suggested joining the AI trial, the couple did their research and discovered it would improve their chances of getting through the pregnancy.

"It's really hard to go through those miscarriages so anything that could decrease the chances, let's go with that," Ms Keys said.

Doctors are hailing the technology as the biggest leap forward in IVF in over three decades.

"It's completely new, completely different and ... it's all to do with the evolution of computer technology," Associate Professor Anusch Yazdani from the Queensland Fertility Group said.

As part of the international study, led by national fertility provider Virtus Health, 1000 patients will be recruited at five IVF clinics across Australia, alongside sites in Ireland and Denmark.

During each IVF cycle, embryos will be grown in an incubator fitted with tiny time-lapse cameras which will record 115,000 images over five days.

Each embryo is then given a rating based on predicted fetal heart outcomes and the one with the greatest chance of survival is implanted.

If the trial is successful the technology will be rolled out around the world.

So far, the trial at seven fertility clinics around the country has a 90 per cent success rate.

"That's much better than our embryologists have managed to do so this is a really exciting time to," Professor Yazdani said.

Ms Keys is now 26 weeks pregnant and cautiously optimistic for the future.

"We're very excited we're expecting a little girl," she said.

"I think we'll still be a bit stressed until we're holding her, but where we're at, at the moment is really awesome."

Read the rest here:
Trial of Artificial Intellience boosts IVF success and brings joy to Queensland couple - 9News