Essays about: "AI-based tools"

Showing result 1 - 5 of 12 essays containing the words AI-based tools.

1. 1. From HR to AI-R : Navigating Attitudes Towards the Future of Recruitment

   University essay from Uppsala universitet/Företagsekonomiska institutionen

   Author : Julia Pettersson; Sandra Wexén; [2023]
   Keywords : Artificial Intelligence; Recruitment; E-recruitment; Human Resources; Attitudes; AI Recruitment-Tools; Future of Recruitment; Candidate perception on recruitment; AI in recruitment;

   Abstract : Artificial intelligence has recently gained an increased amount of attention, both in general and in recruitment. The recruitment process has for a long time been dependent on the human touch, but lately AI has been argued as the “future of hiring”. READ MORE

3. 2. An Intervention Study on the Use of Artificial Intelligence in the ESL Classroom: English teacher perspectives on the Effectiveness of ChatGPT for Personalized Language LearningEn

   University essay from Malmö universitet/Fakulteten för lärande och samhälle (LS)

   Author : Abrar Mohammad Ali; [2023]
   Keywords : ChatGPT; AI-based tools; Personalized language learning; ESL classroom; ESL; L2; Individualized learning; Tailored tasks; Digital-tools; Chatbots; Artificial Intelligence TPACK; Adaptive learning; educational tools;

   Abstract : The recent release of AI tools for public use allows for the development of novel teaching approaches for goals that often present challenges in the classroom, such as the need for personalized learning materials. The current study enlists a four-week ChatGPT-based personalized learning intervention in tandem with a teacher questionnaire and interviews in two upper-secondary schools in Southern Sweden to investigate English teacher perceptions of the benefits and challenges of using AI for personalized language learning. READ MORE

4. 3. Empirical Comparison Between Conventional and AI-based Automated Unit Test Generation Tools in Java

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Marios Gkikopouli; Batjigdrel Bataa; [2023]
   Keywords : Software Testing; Unit Testing; Automatic Test Case Generation; AI; Defects4J; Experiment; ;

   Abstract : Unit testing plays a crucial role in ensuring the quality and reliability of software systems. However, manual testing can often be a slow and time-consuming process. With current advancements in artificial intelligence (AI), new tools have emerged for automated unit testing to address this issue. READ MORE

5. 4. AI-based Automated Decision Making: An investigative study on how it impacts the rule of law and the case for regulatory safeguards

   University essay from Lunds universitet/Rättssociologiska institutionen

   Author : Sean Stevens; [2022]
   Keywords : Artificial intelligence; automating governance; automated decision making; rule of law; transparency; accountability; profiling; predictive policing; surveillance capitalism; Social Sciences;

   Abstract : The development and expansion of artificial intelligence have significant potential to benefit humanity; however, the risks posed by AI-related tools have also become a growing concern over the past decade. From the standpoint of human rights violations AI-related bias, discriminatory practices, data protection practices and violations or potential infringements on fundamental rights are some of the core concerns revolving around this evolving technology. READ MORE

6. 5. Explainable Machine Learning for Lead Time Prediction : A Case Study on Explainability Methods and Benefits in the Pharmaceutical Industry

   University essay from KTH/Hållbar produktionsutveckling (ML)

   Author : Paul Fussenegger; Niklas Lange; [2022]
   Keywords : Lead time; machine learning; explainability; regression analysis; production planning and control; Ledtid; maskininlärning; förklarbarhet; regressionsanalys; produktionsplanering och produktionsstyrning;

   Abstract : Artificial Intelligence (AI) has proven to be highly suitable for a wide range of problems in manufacturing environments, including the prediction of lead times. Most of these solutions are based on ”black-box” algorithms, which hinder practitioners to understand the prediction process. READ MORE