* If you want to update the article please login/register
8 the lack of long-term involvement with AI's long-term social and ethical outcomes; 9 the article is divided according to nine main themes of criticism; 2 how AI fairness research can be defined; 2 how AI algorithms work and its propensity to encourage ethical washing; and 4 how ethics washing can be implemented in AI fairness studies; 3 how AI fairness principles can be defined; 3 the use of abstraction; 4 the lack of transparency and accountability in ethics washing; 3 the adoption of marginalized groups into AI fairness The essay concludes by imagining future ML fairness research directions that have effectively challenged entrenched power dynamics and systemic injustices in society based on these critiques.
Source link: https://doi.org/10.1613/jair.1.13196
Connected vehicle tracking scheme run in an environmentally safe radio frequency of 434 MHz, artificial intelligence, machine learning, and IoT techniques is cost-effective and secured tracking of devices. When the GPS module is switched off, it can be hidden without authorization; when the GPS module is switched off, it can be obscured without any authorization. Hence, uninterrupted monitoring network such as CVT-AIML-IoT is a viable alternative with dynamic vehicular PIN generation by AI-ML design. Data from every tracking zone to the cloud for monitoring over Web UI support is available, as well as mapped with time stamp, is mapped with time stamp.
Source link: https://doi.org/10.4018/jcit.20210401.oa3
Background: The primary 24-week findings  shows that therapeutic equivalence of CT-P17 to reference adalimumab has been demonstrated in patients with moderate-to-severe acute rheumatoid arthritis. Methods: 648 moderate-to-severe active RA patients with methotrexate therapy were randomized to either CT-P17 or ref-adalimumab and monitored with doses of 40 mg every two weeks starting at Week 24. 303 patients continued with CT-P17, while 153 patients switched from ref-adalimumab to CT-P17 therapy, up to Week 48. In terms of PK, mean trough serum concentrations were maintained after Week 24 in both three groups. Ctrough concentrations in RA patients were within the reported therapeutic ranges of ref-adab trough levels. Patients with ADA/NAbs in CT-P17 care, 28. 4%/24. 8% patients in ref-adalimumab maintenance, and 28. 3%/26. 3% patients in switched to CT-P17 groups at Week 52. Ref-ada was a patient who needed hospitalization, followed by the construction of a second randomization cycle, with the TEAE naming as hypersensitivity/allergic disorder as a result of clinical distress, 52-51 28 p. 1 TEAE was classified as malignancy by Week 26 to 52 patients; TEAE, treatment-emergent adverse event. 1 0 1 0 1 0 1 TEAE ada, 2 1 a ab; a ada TEAE 1 TEAEA, TEAE, 1 ada a e phy, 1 2 1 ab; 2 1 a1 1 TEAEAEAEAE1 etab; 1 TEAE e1 TEAE, 1 0 1 ea TEAE.
Source link: https://doi.org/10.1136/annrheumdis-2021-eular.325
This paper explores how vulnerabilities that specifically mention input validation and are lacking. We review the methods for detecting security holes in Web applications. In the current scheme, SQL injection, Cross-Site Scripting, HTTP, and command inj1ection issues are addressed, as well as the Naive Bayes ML technique is used to determine the exactness.
Source link: https://doi.org/10.35940/ijitee.d1325.029420
The intention behind a chatbot framework is to reproduce a human discussion; the chatbot design coordinates a language model and computational estimations to reproduce casual visit communication between a human client and a PC using normal language. So, a farmer's chat with an online assistant aids the farmer to find the product's information and purpose. This list of fertilizer items in the market is based on the principles of crop production growth, disease, and insects. Farmers who want to know the particulars of a product need to consult an agent or a fertilizer store near Are far away from the farmers' home-town farmer's will fly, waste their money and time. Farmers often want product information. So, AI and ML are used to build the assistant to inform farmers of fertilizer requirements. Sometimes the farmer needs product details.
Source link: https://doi.org/10.35940/ijrte.e6667.018520
The new ways of user interaction are aided in part by this study, as this report will explore how advances in Artificial Intelligence and Machine Learning technologies are being used to enhance many applications. This project's goal is to develop an android-based chatbot to support Organization basic processes, using google tools such as Dialogflow that uses Natural language processing NLP, Actions on Google and Google Cloud Platform that demonstrate artificial intelligence and Machine Learning techniques such as natural language understanding. Allowing users to use natural words as input and to train the chatbot i. e. Users will be able to view all of their personal academic data, schedule meetings with higher officials, automation of processes, and organization resource details data all from within the chatbot i. e. To create Google assistant, we'll use Dialogflow as a primary component.
Source link: https://doi.org/10.35940/ijrte.e6354.018520
The method for investigating the behaviour of IT system users was developed under the previous authors' study, and thus could increase the effectiveness of company processes. This paper explores method output data in the context of determining their importance based on expert review and demonstration of various UX analysis situations. It also includes a visualization prototype that can be used to collect the output results, which helps to determine the input/output conversion rates and estimated data acquisition rates.
Source link: https://doi.org/10.2478/acss-2021-0013
* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions