Results 131 to 140 of about 83,837 (394)

Do Chatbots Dream of Androids? Prospects for the Technological Development of Artificial Intelligence and Robotics [PDF]

, 2019
The article discusses the main trends in the development of artificial intelligence systems and robotics (AI&R). The main question that is considered in this context is whether artificial systems are going to become more and more anthropomorphic, both ...
Efimov, Albert R.
core  

Meta-path Augmented Response Generation

, 2018
We propose a chatbot, namely Mocha to make good use of relevant entities when generating responses. Augmented with meta-path information, Mocha is able to mention proper entities following the conversation flow.Comment: AAAI ...
Li, Wenjie, Li, Yanran
core   +1 more source

Towards Systemic Leadership Resilience: Proposing the Hybrid Artificial Intelligent Leader in Response to Economic Crises

Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration, EarlyView.
ABSTRACT Researchers now understand that the Great Recession stemmed from a “systemic leadership failure,” involving various entities such as the government, financial institutions, investors, homeowners, and regulators. Consequently, traditional leadership approaches of the time came under intense scrutiny, necessitating a shift in leadership ...
Faidon Theofanidis, Eleni Tsianaka, Christos Livas   +2 more
wiley   +1 more source

Effectiveness and Safety of Using Chatbots to Improve Mental Health: Systematic Review and Meta-Analysis

Journal of Medical Internet Research, 2020
BackgroundThe global shortage of mental health workers has prompted the utilization of technological advancements, such as chatbots, to meet the needs of people with mental health conditions.
Abd-Alrazaq, Alaa Ali, Rababeh, Asma, Alajlani, Mohannad, Bewick, Bridgette M, Househ, Mowafa   +4 more
doaj   +1 more source

Exploring consumers response to text-based chatbots in e-commerce: The moderating role of task complexity and chatbot disclosure [PDF]

Artificial intelligence based chatbots have brought unprecedented business potential. This study aims to explore consumers trust and response to a text-based chatbot in ecommerce, involving the moderating effects of task complexity and chatbot identity disclosure. A survey method with 299 useable responses was conducted in this research.
arxiv   +1 more source

Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots [PDF]

Internet of Things and Cyber-Physical Systems, 2023
S. Gill, Minxian Xu, Panos Patros, Huaming Wu, Rupinder Kaur, K. Kaur, Stephanie Fuller, Manmeet Singh, Priyansh Arora, A. Parlikad, V. Stankovski, Ajith Abraham, Soumya K. Ghosh, H. Lutfiyya, S. Kanhere, Rami Bahsoon, O. Rana, S. Dustdar, R. Sakellariou, Steve Uhlig, R. Buyya   +20 more
semanticscholar   +1 more source

Implementing Pre‐Emptive Pharmacogenetics: Impact of Early Pharmacogenetic Screening in a Pediatric Oncology Cohort of 1,151 Subjects

Clinical Pharmacology &Therapeutics, EarlyView.
In pediatric oncology, pharmacogenetic guidelines are underutilized and the potential impact of pre‐emptive pharmacogenetic screening remains largely unexplored despite this field's need for individualized approaches. While comprehensive pharmacogenetic guidelines are not yet available for all anticancer drugs, evidence‐based recommendations exist for ...
Emma C. Bernsen, Eugène T.P. Verwiel, Maaike van der Lee, Jesse J. Swen, Marcel Santoso, Leiah J. Brigitha, Rick Admiraal, Bastiaan B.J. Tops, Alwin D.R. Huitema, Patrick Kemmeren, Jayne Y. Hehir‐Kwa, Lidwien M. Hanff, Meta H.M. Diekstra   +12 more
wiley   +1 more source

Progress in Pharmacogenomics Implementation in the United States: Barrier Erosion and Remaining Challenges

Clinical Pharmacology &Therapeutics, EarlyView.
Barriers to incorporating pharmacogenetics into routine clinical practice in the United States are well documented. Initial surveys by the Clinical Pharmacogenetics Implementation Consortium (CPIC) in 2009 and 2010 identified barriers across four key domains that have hindered the widespread adoption of clinical pharmacogenetic testing.
D. Max Smith, Michael P. Douglas, Christina L. Aquilante, Patricia A. Deverka, Beth Devine, Henry M. Dunnenberger, Philip E. Empey, Daniel L. Hertz, Andrew A. Monte, Ann M. Moyer, Jai N. Patel, Victoria M. Pratt, Loren Saulsberry, Stuart A. Scott, Deepak Voora, Erica L. Woodahl, Michelle Whirl‐Carrillo, Akinyemi Oni‐Orisan, on behalf of the Pharmacogenomics Global Research Network (PGRN) Publications Committee   +18 more
wiley   +1 more source

The return of the chatbots [PDF]

Natural Language Engineering, 2016
AbstractBy all accounts, 2016 is the year of the chatbot. Some commentators take the view that chatbot technology will be so disruptive that it will eliminate the need for websites and apps. But chatbots have a long history. So what's new, and what's different this time?
openaire   +2 more sources

All in the Name of Artificial Intelligence: A Commentary on Linardon (2025)

International Journal of Eating Disorders, EarlyView.
ABSTRACT Artificial Intelligence (AI) is being rapidly integrated into healthcare, but Linardon et al. reveal a troubling gap between what AI actually is, its capabilities, and the patients' and clinicians' perceptions of it—equating AI solely with large language models.
Pia Burger, Sreejita Ghosh
wiley   +1 more source