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Artificial Intelligence in Social Work: Ethical Issues and Challenges

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1.  Artificial intelligence in social work can include all of the following EXCEPT:
  1. Computer-based expert systems
  2. Natural language processing
  3. Face-to-face meetings with clients
  4. Chatbots
2.  Artificial intelligence in social work is being used for all of the following purposes EXCEPT:
  1. Client self-monitoring
  2. Conduct in-person crisis intervention
  3. Clients’ clinical and progress notes
  4. Remote clinical assessments and interventions
3.  Machine learning in artificial intelligence involves:
  1. Using historical data about clients and others to predict and shape new output
  2. Social workers’ assessment of clients’ ability to use computer technology
  3. Social workers’ personal communications with clients using text messages and email
  4. Social workers’ decisions about whether to use electronic or paper records
4.  In social work education and training, artificial intelligence can be used for all of the following EXCEPT:
  1. Plagiarism detection
  2. Virtual reality simulations
  3. Assistive technology
  4. Office-based meetings with students and supervisees about their progress
5.  “Ecological momentary assessments” (EMA) is a form of artificial intelligence that involves:
  1. Repeated samplings of clients’ behaviors and experiences in real-time
  2. Identifying affordable housing options for clients
  3. Billing clients’ insurance companies for clinical sessions
  4. Clients’ acknowledgment that they received a copy of HIPAA’s Notice of Privacy Practices
6.  Data mining is a form of artificial intelligence that involves:
  1. Clients’ in-person reports of their clinical symptoms
  2. Clients’ insurance reimbursement claims
  3. Social workers’ disclosure of clinical records in response to a subpoena
  4. Extraction of potentially useful information from data to identify patterns and trends using algorithms
7.  Algorithmic bias involves:
  1. Social workers’ protocols for billing clients’ insurance companies for clinical services
  2. The extent to which artificial intelligence tools used for clinical purposes and agency hiring exacerbate social, cultural, and political bias
  3. Social workers’ decisions about whether to terminate services to clients against their wishes
  4. Clients’ right to access their electronic clinical records
8.  To create ethics-informed policies for their use of artificial intelligence, social workers should do all of the following EXCEPT:
  1. Subject algorithms to peer review
  2. Conduct artificial intelligence simulations
  3. Avoid obtaining clients’ consent to use artificial intelligence
  4. Test algorithms for possible bias and inaccuracies
9.  Technology practice standards adopted jointly by NASW, ASWB, CSWE, and CSWA address all of the following issues EXCEPT:
  1. Cost-benefit analysis of social workers’ use of artificial intelligence
  2. Ethical use of technology
  3. Client confidentiality when using technology
  4. Licensure issues when using technology to provide services across jurisdictions
10.  The technology standards included in the NASW Code of Ethics address all of the following issues EXCEPT:
  1. Informed consent
  2. Social workers’ social media policies
  3. Cultural competence
  4. Insurance reimbursement for social workers’ use of artificial intelligence

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