...closed. Search time means the period devoted to looking for agency records, either manually or by automated means, for the purpose of locating those records that are responsive to a request. This includes a page-by-page or line-by-line identification of responsive informa-tion within the records. Unusual ...

... 285.11. § 11.6 Reporting debts. DHS will report delinquent debts to credit bureaus and other automated databases in accordance with 31 U.S.C. 3711(e), 31 CFR 901.4, and the Office of Management and Budget Circular A– 129, ‘‘Policies for Federal Credit Pro - grams and Non-tax Receivables,’’ wh...

... hear from you today, Dr. Jacobs-Young. And, Under Secretary, I have a question for you regarding artificial intelligence. Advances in artificial intelligence, as you know, continue to be increasingly important across many industries, including agriculture. I represent the University of Illinois in Urbana-Champaign, ...

...g. And, Under Secretary, I have a question for you regarding artificial intelligence. Advances in artificial intelligence, as you know, continue to be increasingly important across many industries, including agriculture. I represent the University of Illinois in Urbana-Champaign, which proudly hosts the AIFARMS (Art...

... investment in promoting advances in ag through AI technology? Dr. Jacobs-Young. Absolutely. So artificial intelligence has been integrated into our DNA, not just in our scientific space, but also in our administrative space. I don't know how many times you have applied for something for the Federal Government. We...

...ment. So we have integrated it into our DNA. We have established a Center of Excellence around artificial intelligence. We recognize that to do that, it is going to need a systems approach, and so we are building on the work of our colleagues over in the Rural Development area who are working so hard to get broadb...

...o more precisely understand the nutritional needs of under studied groups and is eager to utilize machine learning and AI approaches to better predict interactions between food and nutrition-related data and health outcomes. NIFA, through critical programs like the Gus Schumacher Nutrition Incentive Program (G...

...sid- ered located in a State solely because it physically maintains technology, such as a server or automated loan cen-ter, in that state, or because the bank’s products or services are accessed through electronic means by customers located in the state. § 7.5009 Location under 12 U.S.C. 85 of national ban...

...ittee's first hearing this year, we heard from experts about how recent developments of in AI, or artificial intelligence, will change the way we live and work. They said AI could revolutionize many fields. One such field is security operations. Former Google CEO, Eric Schmidt, who testified before this Subcommit...

...onally spoken with Border Patrol officials about how they are using biometrics at the border, how artificial intelligence can help enhance the effectiveness of our existing technology. Guarding the border is hard. It is dangerous work. It often requires relocating to a remote area, increasing the burden this can ...

... Patrol, and natural disaster relief. Future missions for intelligent robots, integrated with artificial intelligence and autonomy, not only require imagination. Systems operating on the ground and up to the stratosphere will enhance global communication, transportation, infrastructure and agriculture inspection,...

...nt frequently deploys emerging technologies that directly affect Americans. For example, DHS uses artificial intelligence and other technologies that can recognize human faces, track mobile phone location, and analyze social media activity. These technologies are purported to bring a variety of benefits to government...

...ctive capability. AeroVironment continues to develop unmanned systems with computer vision and machine learning capabilities, which can navigate autonomously on its own, sense, analyze, and identify itself of interest--items of interest, reducing operator workload and increasing situational awareness and sa...

... Mr. Rawding. Thank you, Chairwoman. In my experience, I think employing a lot of supervised machine learning models where in the Customs and Border Protection space the computers and machines are not ultimately making the decision, but they are giving risk-based scores where the agents and officers are a...

...ng issues like AI. Tomorrow, the Senate will convene the first of three Senators-only briefings on artificial intelligence. These briefings are the first all-Senators briefings ever on AI. Tomorrow's briefing, provided by Antonio Torralba of MIT, will focus on the state of AI today, providing an overview of AI, where...

... spit out? Tell me where my--and it is not AI. That would actually technically be even more an algorithm with constant updating of the data. Why can't I completely automate this? Mr. BOBECK. Congressman, thank you for the question. AI relies upon one thing to do those algorithms, which is set dat...

...viding information about the payment of overdrafts in response to a balance inquiry made through an automated system, such as a telephone response machine, ATM, or an institu-tion’s Internet site, is not a response to a consumer-initiated inquiry for pur-poses of this paragraph; (iii) An advertisement made t...

...ff's continued partnership on the Subcommittee. We are hearing more and more about the promise of artificial intelligence in health care, the potential for innovation to reduce the red tape facing patients and providers, to identify patterns, improve patient outcomes, and cure disease. But we have heard grand pr...

...place conversations on retaining and paying the workforce with extending and replacing them using artificial intelligence. We don't need big tech treating our health care system like a lab to experiment on patients and workers. We need a health care system that prioritizes people over heart rhythms, over bots ru...

...lth care system that prioritizes people over heart rhythms, over bots run by algorithms. Our artificial intelligence must be paired with a voice for workers in determining their own working conditions, more treatments, and cures for all patients, and better access to health care. Otherwise, we are innovating for...

...ir clinical judgments. We can guarantee that workers and patients have a voice in whether and how artificial intelligence is used. We can guarantee civil rights protection in the utilization of artificial intelligence. We can protect young people from big tech's targeting and tracking and pass a comprehensive pri...

...w artificial intelligence is used. We can guarantee civil rights protection in the utilization of artificial intelligence. We can protect young people from big tech's targeting and tracking and pass a comprehensive privacy bill of rights for teenagers and children in our Country. And we have to guarantee that wh...

... bill of rights for teenagers and children in our Country. And we have to guarantee that wherever artificial intelligence is used, it prioritizes people over profits. But I have learned in my many years serving on the telecommunications committee, I was Chairman in the House during, and I am the author of all of...

...ful not to destroy innovation or allow those who would harm us to get ahead of us. After all, artificial intelligence and machine learning have been making remarkable discoveries and improving health care for some five decades without much Government interference. I would like to quote Ranking Member Cassidy...

...guished Members of the Subcommittee, it is my pleasure to appear before you to discuss the use of artificial intelligence in health care. My name is Tom Inglesby. I am Director of the Johns Hopkins Center for Health Security and Professor in the Department of Environmental Health and Engineering in the Johns Hopk...

...ies like Jim's, that you told us here, tell us about insurance companies and companies developing artificial intelligence, and how they are incorporating patient experience versus their profit motivation? Can you talk about the lesson we should learn from that experience? Ms. Huberty. Sure. I do want to focus fi...

...an oversight. Senator Markey. Yes. And who should bear the burden of proving that the use of artificial intelligence won't harm patients? Where should that burden of proof lie? Ms. Huberty. Right now, I think that should be with those subcontractors that have developed and are using that AI. Senator Mar...

...antibiotic at the right dose. As an expert in health security, can you speak to the role that artificial intelligence plays in our fight against antimicrobial resistance? Dr. Inglesby. Yes. Well, thank you very much for the question. Very important set of issues around AMR. I think there are a number of ways...

...and Maryland. Your perspectives are essential for ensuring that we guard against the harms of artificial intelligence. We need to put people over profit, prioritize worker voices, and keep focused on how to best treat patients. I ask unanimous consent to enter into the record a statement from stakeholders ou...

...\6\ Jamie Smyth. (June 26, 2023) Financial Times, Biotech begins human trials of drug designed by artificial intelligence. https:// www.ft.com/ \7\ Morgan Stanley. (Sept. 9, 2022). Why Artificial Intelligence Could Speed Drug Discovery. https://www.morganstanley.com/ideas/ai- drug-discovery. \8\ Kevin Gawora....

.... Diagnosing and Treating Diseases Diagnostic and treatment applications of artificial intelligence are proliferating each year. \11\ They hold the potential to expand health care access, improve outcomes, and increase efficiency. However, FDA's framework for regulating medical devices was not d...

...------------------------------ \50\ Nurski, L. and Hoffman, M. (2022, July 27). The impact of artificial intelligence on the nature and quality of jobs, Working Paper, Bruegel. https://www.bruegel.org/sites/default/files/2022-07/WP percent2014 percent202022.pdf. \51\ Verma, Pranshu. (2023, February 20). AI is...

...-policy-study-no-278.pdf. \81\ The Economist. (2023, May 7). Your job is (probably) safe from artificial intelligence. https://www.economist.com/finance-and- economics/2023/05/07/your-job-is-probably-safe-from-artificial- intelligence. \82\ Schwab, Klaus, & Zahidi, Saadia. (2020, October 20). The Future of Job...

....gov/laws/guidance/cm-604- theories-discrimination. \111\ New EEOC guidance on when the use of artificial intelligence in selection procedures may be discriminatory. FordHarrison. (2023, June 13). https://www.fordharrison.com/eeocs-guidance-on-artificial- intelligence-hiring-and-employment-related-actions-taken-usi...

...ieving this mission, as well as the need for thoughtful policymaking to ensure that tools such as artificial intelligence (AI) are used with the utmost regard for patients' rights and safety. As we discuss below, it is essential that AI tools are trained and maintained with high quality, diverse, valid, and represent...

...nds, and Young, for inviting me to participate in this important conversation about the impact of artificial intelligence (AI) on the workforce. My name is Bonnie Castillo, I'm a registered nurse and the Executive Director of National Nurses United, the nation's largest union and professional association of registere...

...members primarily work in acute care hospitals, where they are already experiencing the impacts of artificial intelligence and other data-driven technologies. The decisions to implement these technologies are made without the knowledge of either nurses or patients and are putting patients and the nurses who care for t...

... hospitals around the country. The health care industry has been implementing various forms of artificial intelligence and other data driven technologies for a number of years. The nursing workforce is therefore uniquely situated to provide feedback and analysis on the impacts that these technologies have had on w...

...their health care provider, not by a committee based on population-level data. The deployment of artificial intelligence should be subjected to the Precautionary Principle test. Nurses believe that we must approach any change in health care using the precautionary principle; the proposition t...

... cause-and-effect relationships are not fully established scientifically.'' The deployment of artificial intelligence should be subjected to this precautionary principle test, especially when it comes to patient care. Policymakers must ensure that the burden of proof rests on healthcare employers to demonstrate t...

...ealth or safety and quality of care inflicted by unproved, untested technology. Nothing about artificial intelligence is inevitable. How AI is developed and deployed is the result of human decisions, and the impacts of AI--whether it helps or harms health care workers and the patients we serve--depends on who is ...

...s effective regulations that will protect nurses and patients from the harm that can be caused by artificial intelligence and data-driven technologies in health care. ______ National Nurses United, ...

... (RNs) to discuss the ways that our nearly 225,000 members are already experiencing the impacts of artificial intelligence (AI) and data-driven technologies at the hospital bedside. The decisions to implement these technologies are often made without the knowledge of either nurses or patients, and are putting pat...

...s effective regulations that will protect nurses and patients from the harm that can be caused by artificial intelligence and data-driven technologies in health care. Sincerely, Amirah Sequeira, National Government Relations Director, ...

...Well, thank you, Mr. Chairman. I certainly appreciate those comments. Artificial intelligence and machine learning have great potential to revolutionize health care by developing new cures, improving health care delivery, and reducing administrative burdens, as well as overall health care spending. We hop...

...n or allow those who would harm us to get ahead of us. After all, artificial intelligence and machine learning have been making remarkable discoveries and improving health care for some five decades without much Government interference. I would like to quote Ranking Member Cassidy, who has done exten...

...er to do both, which points me to the realization that AI is only as good as its inputs. If it is machine learning, it is going to learn based on what exists and what is done and all the fun stuff that gets put in its way. Well, it seems to me that AI has a diversity problem. What I want to illustrate her...

... Sachs Economic Research. https://www.key4biz.it/ As EEOC Commissioner Keith Sonderling notes, machine learning and natural language processing are the most pertinent iterations of AI in the employment context. \64\ Machine learning is a subfield of AI that allows computing systems to process large amounts ...

...rning opportunities for their workers and facilitate personalized and flexible upskilling. Through machine learning, AI can recommend and facilitate employee role pathways and learning sequences. AI-facilitated upskilling can be seamlessly integrated into an employee's workflow. \93\ ---------------------------...

..., the treatment recommendations that are made, the claims denials that are made. Those can all be automated with data. We have an opportunity to move forward with getting the data flowing in the health care system so that we can monitor safety. And again, it is the same safety that we are talking a...

...oying employee monitoring methods such as keystroke and eye tracking software, video monitoring or automated job interviews, and wearable tracking devices, which can raise concerns over employee privacy and dignity. \52\ The shift to remote work that occurred during the pandemic spurred adoption of these...

...partments of Transportation and Labor published a congressionally directed study on the impacts of automated trucking on the workforce, which acknowledged the potential for job displacement in the trucking industry but noted the lack of data would require further studies to generate a stronger prediction...

...diction. \78\ A 2019 Government Accountability Office (GAO) report noted widespread deployment of automated trucks could be years or decades away. --------------------------------------------------------------------------- \76\ American Trucking Association. (n.d.). Economics and industry data. Ameri...

...an online application due to age restrictions, the Illinois Attorney General investigated several automated hiring platforms for discouraging older workers from applying. \113\ --------------------------------------------------------------------------- \112\ Department of Labor. (n.d.). Age discrimin...

...s), acute-care hospital-at-home and remote patient monitoring schemes, virtual acute-care nursing, automated worker surveillance and management (AWSM) and staffing platforms that support gig nursing, and increasingly, emerging technologies like generative AI systems. Through our experiences working w...

...atient care. The highly skilled work of a registered nurse, by its very definition, cannot be automated. When hospital employers use technology to override and limit the professional judgment of nurses and other health care workers, patients are put at risk. In fact, patients have already been harme...

...vidual patient. Liability for any patient harm associated with failures or inaccuracies of automated systems must be placed on both AI developers and health care employers and other end users. Patients must provide informed consent for the use of AI in their treatment, inc...

...dustrial process controls are overwhelmingly still manually regulated, and less than 10 percent of automated APCs are active, optimized and achieving the desired objective. These technologies are now ready to transform drug manufacturing on a commercial scale; however, challenges still remain to widespre...

...tside of the technology's design. Premier acknowledges the risks of automation bias and fully automated decisionmaking processes. To reduce these risks, promote trust in AI technologies used in healthcare and achieve the goal of supporting the healthcare workforce through AI, Premier recommends that ...

... AI technology in healthcare. Automation bias refers to human overreliance on suggestions made by automated technology, such as an AI device. This tendency is often amplified in high-pressure settings that require a rapid decision. The issue of automation bias in a healthcare setting is discussed at len...

...ompts. The Guardian. https:// www.theguardian.com/us-news/2023/jan/06/new-york-city-schools-ban-ai- chatbot-chatgpt. \46\ Ibid. \47\ Office of Educational Technology. (May 2023). Artificial Intelligence and the Future of Teaching and Learning. U.S. Department of Education. https://www..ed.gov/d...

...ct to address the use of AI. It is simply not right for patients to have their care dictated by an algorithm. Welcome to the Subcommittee, and I look forward to your testimony. Senator Markey. Whenever you are comfortable, Ms. Huberty, you may begin with your opening statement. STATEMENT OF CH...

...e rehab facility. Jim received a denial on day 16, with coverage ending 2 days later, just as the algorithm predicted. Jim went home on day 25, not because he was well enough, but because he feared the mounting out-of-pocket costs. Jim's doctors and therapists did not agree with the algorithm's pre...

...se he feared the mounting out-of-pocket costs. Jim's doctors and therapists did not agree with the algorithm's predicted discharge date, nor did they agree with Jim's own decision to return home. AI directed Jim's care. The subcontractors using the algorithm argue that the predicted discharge date i...

... with Jim's own decision to return home. AI directed Jim's care. The subcontractors using the algorithm argue that the predicted discharge date is used as a guide only, and medical reviewers, humans, make all final denial decisions. If that is the case, then humans who had no contact with Jim ignore...

...ome with wife. Jim's family helped him appeal twice, which was ultimately successful, meaning the algorithm got it wrong and a human did not catch the mistake until it was challenged. In Wisconsin alone, our agency has seen the frequencies of these denials multiply from 1 to 2 per year to 1 to 2 per wee...

...30.8 million people were enrolled in Jim's type of insurance nationally. This means that use of an algorithm for this one narrow patient experience is churning out hundreds of thousands of incorrect denials that go largely unchallenged. If Jim had stayed in the facility the full length of time that his ...

...not have been able to navigate the appeals process by himself from his hospital bed. Using an algorithm to guide discharges also negatively affects the facilities, who must submit almost daily updates to the subcontractors regarding that predicted date and provide hundreds of pages of medical record...

...is unrealistic to eliminate AI completely from the health care system, I understand. However, this algorithm alone has been used for years to direct patient care with devastating consequences. If the machine itself can't be dismantled, then patients should at a minimum, have a clear view of its moving p...

...smantled, then patients should at a minimum, have a clear view of its moving parts. When the algorithm gets it wrong, patients need to be compensated, and both the insurance companies and their subcontractors must be penalized. I want to thank you for the opportunity to speak about this important i...

...ays at a SNF. \1\ Jim received a denial on day 16, with coverage ending 2 days later, just as the algorithm predicted. Jim went home on day 25 not because he was well enough, but because he was afraid of the mounting out-of-pocket costs. Jim's doctors and therapists did not agree with the algorithm's pr...

...s afraid of the mounting out-of-pocket costs. Jim's doctors and therapists did not agree with the algorithm's predicted discharge date, nor did they agree with Jim's own decision to return home so soon. AI directed Jim's care. --------------------------------------------------------------------------- ...

...--------- \1\ naviHealth nH Predict Outcome Tool (attached). The subcontractors using the algorithm argue that the predicted length of stay is used as a guide only, and medical reviewers (humans) make all final denial decisions. This may be the case, but if so, these ----------------------------...

... not because it was medically appropriate, but because his insurance denied coverage based on the algorithm. Jim's family helped him appeal twice, which was ultimately successful. Meaning, the algorithm got it wrong, and a human did not catch the mistake until it was challenged. Some reports show th...

...the algorithm. Jim's family helped him appeal twice, which was ultimately successful. Meaning, the algorithm got it wrong, and a human did not catch the mistake until it was challenged. Some reports show that only 1 percent of denials are appealed, with 75 percent of those overturned. \2\ Our agency,...

... million people were enrolled in Jim's type of insurance nationally. \3\ This means that use of an algorithm for this one narrow patient experience is churning out hundreds of thousands of incorrect denials that go largely unchallenged, leaving patients and their families to suffer. When I called Jim's f...

... navigate the appeals process by himself from his hospital bed. The effects of the use of the algorithm to guide discharges not only causes patient harm, but also negatively affects the facilities, which must submit near daily updates to the subcontractors regarding the predicted discharge date, and...

...or its subcontractors suffer negative consequences. The burden is on the patient to prove why the algorithm got it wrong. If the appeal makes it to the Federal hearing stage, a judge will order the insurance company pay what it was supposed to pay in the first place, and the practice continues. Insuranc...

...g in the process. It is unrealistic to eliminate AI from the healthcare system. However, this algorithm has been used for years to direct patient care with devastating effects. If the machine itself cannot be dismantled, then patients should have, at a minimum, a clear view of its moving parts. Addi...

...ld have, at a minimum, a clear view of its moving parts. Additionally, when it is obvious that the algorithm got it wrong and issued an incorrect denial, patients need to be compensated, and insurance companies and their subcontractors must be penalized. I want to thank you for the opportunity to spe...

...ds of residents in Wisconsin is not anything new. We have a long history of showing that this algorithm, this use of predictive technology, has shown time and time again that it is incorrect. They come to us in our agency. We appeal, we get it overturned. We see that so often, that number, that...

...ncy. We appeal, we get it overturned. We see that so often, that number, that computer, that algorithm gets it wrong, and there wasn't enough human oversight. Senator Markey. Yes. And who should bear the burden of proving that the use of artificial intelligence won't harm patients? Where shoul...

...tand how there are biases built in. Is there harm that is inside of this ultimately human designed algorithm that then takes on a life of its own? What was that human input that ultimately led to the recommendations that will be made? Thank you, and I will be coming back again. But at this point, I ...

...inking about your story of the man who was confronted with this prior authorization recommendation algorithm, which clearly was not being made in his--you know, the decision is not being made in his best interests. I mean, to be clear, I worry about humans and these big insurance companies also not ...

... just think the volume of it too. When you have so many of these denials running through that algorithm, the human oversight is only there when it is challenged. So only when there are appeals, do you have that really detailed and careful human oversight where they are looking at the medical records...

...chest x-rays from men will perform poorly when a clinician applies it to a female patient. An algorithm for diagnosing skin cancer on dermatologic photos will botch the diagnosis if the patient is dark skinned and most of the training images come from fair skinned. I think these are obvious things t...

...us. You have seen one pregnant person with this virus. The next pregnant patient may not obey the algorithm. There are more than two standard deviations outside the box. That is all algorithms are for the most part. Here is two standard deviations. Most people should be in the hospital 2.3 days aft...

...rather run the risk of having the data breach. I said, so the technology is there, the counter algorithm is there to fight against what becomes the state-of-the-art in terms of the criminals trying to break in? Oh, yes, yes, it is there but many companies or the executives just don't want to spend t...

...ckenlooper. Until that young man from--Wembanyama down in San Antonio, he might quickly change the algorithm. [Laughter.] Senator Markey. We thank everyone who participated today, especially our witnesses who traveled here from Massachusetts, Kansas, Wisconsin, and Maryland. Your perspectiv...

...ients. Moreover, foundational questions about AI applications remain regarding the transparency of algorithm development, ongoing effectiveness of such applications, and who carries the liability if something goes wrong. --------------------------------------------------------------------------- \11\ ...

...te use. One of the barriers to adoption of AI tools is a lack of understanding about how any given algorithm was designed. Improving transparency about how an AI product works will build stakeholder trust in such products. Second, any framework must build in a clear method to measure effectiveness s...

...ulation and patient data. One leading electronic health record (EHR) vendor that developed an algorithm intended to predict whether a patient would develop sepsis came under scrutiny when the Journal of the American Medical Association found that it only accurately predicted the occurrence of sepsis...

...or coverage decisions does not reduce needed care. One report found that a health insurer used an algorithm to batch claims that were denied by the thousands with a single click. \32\ Stakeholders later emphasized the need for greater regulatory oversight of using AI to review prior authorization reques...

...ss and Bob Herman. (July 11, 2023). How UnitedHealth's acquisition of a popular Medicare Advantage algorithm sparked internal dissent over denied care. https://www.statnews.com/ 2023/07/11/Medicare-advantage-algorithm-navihealth-united--health- insurance-coverage/ While AI has the potential to streaml...

... sparked internal dissent over denied care. https://www.statnews.com/ 2023/07/11/Medicare-advantage-algorithm-navihealth-united--health- insurance-coverage/ While AI has the potential to streamline health care administration and address spending by optimizing provider resources and improving patient c...

... The foundational requirement for developing an AI tool is a large data set upon which to train an algorithm to analyze information and make determinations and predict outcomes. The dataset can take many forms, including thousands of medical images accompanied by indications of whether and where cancerou...

...cations of whether and where cancerous tumors are present. After learning from enough images, the algorithm should be able to process a new image and alert a clinician as to whether cancer is indicated in the scan. To obtain such vast datasets, algorithm developers may affiliate with an institution that...

...nd alert a clinician as to whether cancer is indicated in the scan. To obtain such vast datasets, algorithm developers may affiliate with an institution that already has internal datasets, such as a hospital system or EHR vendor. These institutions are typically regulated as covered entities or business...

...ent harm. There are many aspects to validation. Validation is necessary in terms of the technology/algorithm used, the patient population on which the device is trained, whether the outcomes are accurate and unbiased, and whether the tool is appropriate for the specific setting in which it is used. While...

...ecially those using AI. Bias can manifest in digital tools in various ways. For instance, if an AI algorithm is trained with data that fails to include all patient populations for which the tool is used, this would introduce inherent bias. Bias could also be unintentionally written into algorithms, leadi...

...on and experience in the clinical setting. That human skill and judgment cannot be replaced by an algorithm without serious consequences for safe patient care. The highly skilled work of a registered nurse, by its very definition, cannot be automated. When hospital employers use technology to overri...

... perspective on the lives of racial minorities, or implicit racial bias--to be introduced into the algorithm. Even under optimal conditions, clinical algorithms are based on population-level data and are not appropriate for every patient. In addition, the way clinical algorithms are implemented, rega...

...onstrains the use of health care professionals' judgment, which can worsen the impact of a biased algorithm. It is essential that the use of race or ethnicity in clinical algorithms is scrutinized, including whether race or ethnicity are serving as proxies for other factors that should be identified exp...

...eved through a ``nutrition label'' model. This approach seeks to demystify the black box of an AI algorithm by listing the sources and classes of data used to train the algorithm. Unfortunately, some versions of the ``nutrition label'' approach to AI transparency fail to acknowledge that when an AI tool ...

...ify the black box of an AI algorithm by listing the sources and classes of data used to train the algorithm. Unfortunately, some versions of the ``nutrition label'' approach to AI transparency fail to acknowledge that when an AI tool is trained on a large, complex dataset, and is by design intended to e...

....18 to the nearest second, and the trading volume at that time and price; and (iv) Any method or algorithm used to determine the bid or asked price for any retail forex transaction or the prices at which customer orders are ex-ecuted, including, but not limited to, any markups, fees, commissions or other...

...daily basis; (iv) Verification of retailer’s credits against deposit information entered into the automated clearinghouse (ACH) network; (v) Reconciliation of total funds en- tered into, exiting from, and remaining in the system each day; (vi) Maintenance of audit trails that document the full cycle of...

...luation of whether (and if so, to what extent) the burden on re-spondents can be reduced by use of automated, electronic, mechanical, or other technological collection tech-niques or other forms of information technology, e.g., permitting electronic submission of responses; (6) A test of the collection of ...

...e col- lection of information on those who are to respond, including through the use of appropriate automated, electronic, mechanical, or other technological col-lection techniques or other forms of in-formation technology, e.g., permitting electronic submission of responses. (2) If the agency does not publ...

...han that required by paragraph (f)(3) of this section; (ii) For any manufacturer who uti- lizes an automated process in their manufacturer-specific scan tool for di-agnostic fault trees, the data schema, detail specifications, including cat-egory types/codes and vehicle codes, and data format/content struct...

... require enablement and specifications for the enablement. (iii) Any manufacturer who utilizes an automated process in its manufac-turer-specific scan tool for diagnostic fault trees shall make available to equipment and tool companies the data schema, detail specifications, including category types/codes ...

...ose gears. For ve-hicles with a manual transmission, GEM applies a 2% emission increase relative to automated manual trans-missions. If your vehicle has a dual- clutch transmission, use good engineer-ing judgment to determine if it can be accurately represented in GEM as an automated manual transmission. We ...

...ssion, use good engineer-ing judgment to determine if it can be accurately represented in GEM as an automated manual transmission. We may require you to perform a powertrain test with dual-clutch trans-missions to show that they can be properly simulated as an automated manual transmission. (2) Drive axle m...

...a powertrain test with dual-clutch trans-missions to show that they can be properly simulated as an automated manual transmission. (2) Drive axle make, model, and con- figuration. Select a drive axle configu-ration to represent your vehicle for modeling. (i) 4x2: One drive axle and one non- drive axle. Th...

...any, maintains a payroll account with the O Bank in which N deposits its own funds. Pursuant to an automated payroll service agreement between N and O, O prepares payroll checks and earnings statements for each of N’s em-ployees reflecting the net pay due each such employee. These checks are delivered to N ...

...n that area, our recent audit work has recommended steps for FRA to improve its management of its automated track inspection program. Alongside these and other safety challenges, DOT must identify and then manage the financial risks associated with infrastructure spending, including the IIJA funds. ...

... especially if they file electronically. You know, we run our math checks and we run, you know, an automated review, and many of those filings just go through. And, hopefully, if they file electronically and direct deposit, they are getting their refund within 21 days at this point. Mr. MURPHY. All r...

...Yes. Can the IRS modernize the phone system to improve the call-back option, to produce--increase automated options? No, not if we raid to pay for base. And that is why it is important that Congress fund both our base and our modernization, because it is the American people that end up suffering. They a...

...e backlog--most of the backlog, if not all--is caused by paper, and the fact that we don't have an automated way of processing it. So you have individuals keying it in, which seems like decades-old technology, and that is what it is. But because we are now adding a scanning technology that we previously...

...ey need to function into the future better. And so what I mean by that is not enough processes are automated, we have updates we need to do to our data security requirements for these systems, and we can't hire as agilely as we could because people don't know COBOL. Mr. FEENSTRA. Thank you. You just ...

..., promote financial inclusion and dig-ital workforce skills, and develop rules to govern the use of artificial intelligence and other emerging and future technologies: Now, therefore, be it Resolved, That it is the sense of the House of Rep- 1 resentatives that— 2 (1) the United States should negotiate strong, 3 inclusiv...