Ethics in Artificial Intelligence and Biomedical Research
Size: 18.99 MB
Language: en
Added: Jun 04, 2024
Slides: 18 pages
Slide Content
Small Evidence Can plays a big role 1
Ethics for AI in Genomic Research
Objectives Understand AI's Role in Genomic Research Identify Ethical Challenges Review Ethical Guidelines and Frameworks 3
IMPORTANCE OF ETHICS IN AI PROTECTS INDIVIDUALS' PRIVACY ENSURES FAIRNESS AND ACCURACY PREVENTS MISUSE OF GENETIC INFORMATION 4
AI and Application in Genomic Research AI refers to the use of advanced algorithms techniques to analyze complex genomic data. Analyze genomic Data Identify genetic variants Predict disease Gene sequencing 5
AI in Genomics Uncovers previously hidden genetic patterns AI algorithms identifying rare genetic disorders 6
Ethical Principles in AI Benefits Ensure AI applications contribute positively to genomic research. No Harm Avoid causing harm to individuals Justice Avoiding biases and discrimination. 7
Prevents misuse and unauthorized access Safeguards sensitive genetic information Maintains trust in genomic research Data Privacy and Security 8
Ethical AI Development Transparency 9 Accountability Fairness Privacy Inclusivity
Use encryption techniques to secure genetic data Implement strict access controls to limited user. Remove personal identifiers from genetic data AI and Genetic Privacy 10
AI in Genomics Uncovers previously hidden genetic patterns AI algorithms identifying rare genetic disorders 11
Ethical Issues in Genetic Editing Changes to DNA that can be inherited by future generations. Raises concerns about long-term effects, consent, and potential for eugenics. 12
Ethical Issues in Genetic Editing Modifications to DNA in non-reproductive cells. Generally considered less ethically contentious since changes are not passed to offspring. 13
Protects individuals from discrimination based on their genetic information in health insurance and employment. Genetic Information Non-Discrimination Act (GINA)
Ethical Use of Genetic Information Informed Consent Ensure individuals provide informed consent before their genetic information is collected and used. Transparency Clearly communicate how genetic data will be used, stored, and shared. Confidentiality Implement strong safeguards to protect the privacy and confidentiality of genetic data. 15
Ethics are foundational to responsible AI development and deployment Essential for protecting individuals' rights and ensuring trust in AI technologies Crucial for addressing societal concerns Final Thoughts on the Importance of Ethics in AI 16