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Daniel is a medical researcher trying to find a cure for a disease - OCR - GCSE Computer Science - Question 4 - 2020 - Paper 1
Question 4
Daniel is a medical researcher trying to find a cure for a disease. He has a team of hundreds of people carrying out medical testing. Recent developments in Artific... show full transcript
Worked Solution & Example Answer:Daniel is a medical researcher trying to find a cure for a disease - OCR - GCSE Computer Science - Question 4 - 2020 - Paper 1
Step 1
Discuss the ethical issues
Answer
The use of Artificial Intelligence in medical research raises several ethical concerns. One major issue is the potential for biased algorithms, which could lead to unequal treatment of different patient groups. This inequity could arise from inadequate training data, leading to misdiagnosis or improper treatment recommendations based on race, gender, or socio-economic status.
Additionally, there are concerns about informed consent. Patients typically expect human oversight in research processes, and AI could complicate the transparent communication of risks and benefits. There is also a moral obligation to ensure that AI tools are used responsibly and that patient confidentiality is maintained, as the misuse of personal data can lead to serious breaches of trust.
Step 2
Discuss the legal issues
Answer
The integration of AI into medical research introduces a variety of legal challenges. Primarily, there are questions regarding liability: if an AI system gives a wrong diagnosis, who is responsible? Is it the software developer, the healthcare provider, or the institution?
Furthermore, the regulatory framework surrounding AI in healthcare is still evolving. Researchers and practitioners must navigate existing laws while also ensuring compliance with emerging regulations that govern AI technology and data privacy. Issues related to intellectual property rights concerning AI-generated data and findings also need to be addressed, as the ownership of research outcomes may become unclear.
Step 3
Discuss the cultural issues
Answer
Cultural considerations also play a vital role in the adoption of AI in medical research. Different cultures may possess varying beliefs about technology's role in healthcare, leading to resistance in communities where traditional human-centered practices are deeply valued.
Additionally, the acceptance of AI solutions may differ based on community trust in technology versus healthcare institutions. Ensuring that AI systems are culturally sensitive and inclusive is crucial for achieving widespread acceptance and ethical usage in diverse populations. This requires engagement with communities to address their concerns and involve them in the AI integration process effectively.