L8: AI Tools Value and Ethical Use
Wed, 6/3: 9:15 AM - 10:15 AM CDT
Education Sessions
Education Sessions
Ernest N. Morial New Orleans Convention Center
Room: 293
CM Credit Hours: 1
Description
There have been explosive advancements in artificial intelligence (AI) technology. OEHS professionals are increasingly using AI tools in their practice, but care must be taken to validate the information provided and to ensure that data is collected and applied in an ethical manner.
This session will address key ethical considerations in the use of AI, including but not limited to: a) data privacy; b) bias and fairness; c) accountability and transparency; d) equipment use; e) human supervision; f) decision making; and g) human vs. AI-authored content.
Even with optimized prompts, AI responses cannot be accepted at face value. AI systems do not possess knowledge of facts in the way humans understand them. Instead, they are optimized to generate responses based on training data, not necessarily the most correct or reliable information. Unwarranted user confidence in AI output has already had real-world consequences, including lawsuits related to allegedly fabricated results.
We will present a structured Ethical Decision-Making Algorithm developed for OEHS practice. This algorithm integrates multiple ethical lenses with professional codes of conduct, providing a systematic approach for evaluating AI-related dilemmas. A case study from one of the presenters recently published book will be used to illustrate how the algorithm can guide OEHS professionals in making responsible, defensible choices when incorporating AI into their work.
This session will address key ethical considerations in the use of AI, including but not limited to: a) data privacy; b) bias and fairness; c) accountability and transparency; d) equipment use; e) human supervision; f) decision making; and g) human vs. AI-authored content.
Even with optimized prompts, AI responses cannot be accepted at face value. AI systems do not possess knowledge of facts in the way humans understand them. Instead, they are optimized to generate responses based on training data, not necessarily the most correct or reliable information. Unwarranted user confidence in AI output has already had real-world consequences, including lawsuits related to allegedly fabricated results.
We will present a structured Ethical Decision-Making Algorithm developed for OEHS practice. This algorithm integrates multiple ethical lenses with professional codes of conduct, providing a systematic approach for evaluating AI-related dilemmas. A case study from one of the presenters recently published book will be used to illustrate how the algorithm can guide OEHS professionals in making responsible, defensible choices when incorporating AI into their work.
Learning Outcomes
Upon completion, the participant will be able to:
• Identify some high level use cases for AI tools
• Discuss the ethical concerns of AI use in OEHS.
• Determine how to mitigate the risks of AI use.
• Utilize real-world examples of the value and dangers of AI use.
• Identify some high level use cases for AI tools
• Discuss the ethical concerns of AI use in OEHS.
• Determine how to mitigate the risks of AI use.
• Utilize real-world examples of the value and dangers of AI use.
Content Level
Intermediate
Core Competencies
Ethics
IH/OH Program Management
Risk Communication
Keywords
OHS Management systems, auditing, and compliance
Session Availability
In-person
OnDemand
Virtual
Specialized Tracks
Student and Early Career Professional Track
Targeted Audience
Practitioner
Transfer of Knowledge
Case Studies
Practical Application
Test/Quiz