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Wando Mount Pleasant Library
9 a.m. - 5 p.m.
Phone: (843) 805-6888
Main Library
9 a.m. - 5 p.m.
Phone: (843) 805-6930
McClellanville Library
9 a.m. – 1 p.m.
Phone: (843) 887-3699
Folly Beach Library
9 a.m. - 2 p.m.
Phone: (843) 588-2001
Miss Jane's Building (Edisto Library Temporary Location)
9 a.m. – 1 p.m.
Phone: (843) 869-2355
West Ashley Library
9 a.m. - 5 p.m.
Phone: (843) 766-6635
John L. Dart Library
9 a.m. - 5 p.m.
Phone: (843) 722-7550
St. Paul's/Hollywood Library
9 a.m. - 5 p.m.
Phone: (843) 889-3300
Mt. Pleasant Library
9 a.m. – 5 p.m.
Phone: (843) 849-6161
Dorchester Road Library
9 a.m. - 5 p.m.
Phone: (843) 552-6466
Edgar Allan Poe/Sullivan's Island Library
9 a.m. - 1 p.m.
Phone: (843) 883-3914
John's Island Library
9 a.m. - 5 p.m.
Phone: (843) 559-1945
Otranto Road Library
9 a.m. - 5 p.m.
Phone: (843) 572-4094
Hurd/St. Andrews Library
9 a.m. - 5 p.m.
Phone: (843) 766-2546
Baxter-Patrick James Island
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Phone: (843) 795-6679
Bees Ferry West Ashley Library
9 a.m. - 5 p.m.
Phone: (843) 805-6892
Village Library
9 a.m. - 1 p.m.
Phone: (843) 884-9741
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Phone: (843) 744-2489
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Phone: (843) 805-6909
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A Framework for Language Technologies in Behavioral Research and Clinical Applications: Ethical Challenges, Implications, and Solutions.
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- Author(s): Diaz-Asper, Catherine1 ; Hauglid, Mathias K.2,3; Chandler, Chelsea4; Cohen, Alex S.5,6; Foltz, Peter W.4; Elvevåg, Brita3,7
- Source:
American Psychologist. Jan2024, Vol. 79 Issue 1, p79-91. 13p.- Subject Terms:
- Source:
- Additional Information
- Abstract: Technological advances in the assessment and understanding of speech and language within the domains of automatic speech recognition, natural language processing, and machine learning present a remarkable opportunity for psychologists to learn more about human thought and communication, evaluate a variety of clinical conditions, and predict cognitive and psychological states. These innovations can be leveraged to automate traditionally time-intensive assessment tasks (e.g., educational assessment), provide psychological information and care (e.g., chatbots), and when delivered remotely (e.g., by mobile phone or wearable sensors) promise underserved communities greater access to health care. Indeed, the automatic analysis of speech provides a wealth of information that can be used for patient care in a wide range of settings (e.g., mHealth applications) and for diverse purposes (e.g., behavioral and clinical research, medical tools that are implemented into practice) and patient types (e.g., numerous psychological disorders and in psychiatry and neurology). However, automation of speech analysis is a complex task that requires the integration of several different technologies within a large distributed process with numerous stakeholders. Many organizations have raised awareness about the need for robust systems for ensuring transparency, oversight, and regulation of technologies utilizing artificial intelligence. Since there is limited knowledge about the ethical and legal implications of these applications in psychological science, we provide a balanced view of both the optimism that is widely published on and also the challenges and risks of use, including discrimination and exacerbation of structural inequalities. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of American Psychologist is the property of American Psychological Association and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
- Abstract:
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