AI Delivered Healthcare Creates Serious Legal & Ethical Issues

The use of artificial intelligence in medicine is generating great excitement and hope for treatment advances.

AI generally refers to a computers’ ability to mimic human intelligence and to learn. For example, by using machine learning,  scientists are working to develop algorithms that will help them make decisions about cancer treatment. They hope that computers will be able to analyse radiological images and discern which cancerous tumors will respond well to chemotherapy and which will not. 

But AI in medicine also raises significant legal and ethical challenges. Several of these are concerns about privacy, discrimination, psychological harm and the physician-patient relationship. 

Potential for Discrimination
AI involves the analysis of very large amounts of data to discern patterns, which are then used to predict the likelihood of future occurrences. In medicine, the data sets can come from electronic health records and health insurance claims but also from several surprising sources. 

AI can draw upon purchasing records, income data, criminal records, and social media for information about an individual’s health. Researchers are already using AI to predict a multitude of medical conditions including heart problems, stroke, diabetes and a lot of others including suicide predictions. 

Predictive Capacity
This predictive capability of AI raises significant ethical concerns in health care. If AI generates predictions about your health, it could one day be included in your electronic health records.
Anyone with access to your health records could then see predictions about cognitive decline or opioid abuse. Additionally, patients themselves often authorize others to access their records: for example, when they apply for employment or life insurance.

Such disclosures can lead to discrimination. Employers, for instance, are interested in workers who will be healthy and productive, with few absences and low medical costs. 

If they believe certain applicants will develop diseases in the future, they will likely reject them. Lenders, landlords, life insurers and others might likewise make adverse decisions about individuals based on AI predictions. AI health prediction can also lead to psychological harm. For example, many people could be traumatised if they learn that they will likely suffer cognitive decline later in life. 

It is even possible that individuals will obtain health forecasts directly from commercial entities that bought their data. Imagine obtaining the news that you are at risk of dementia through an electronic advertisement urging you to buy memory-enhancing products.

Yet another concern relates to the doctor-patient relationship. Will AI diminish the role of doctors? Will computers be the ones to make predictions, diagnoses and treatment suggestions, so that doctors simply implement the computers’ instructions? How will patients feel about their doctors if computers have a greater say in making medical determinations?

These concerns are exacerbated by the fact that AI predictions are far from infallible. Many factors can contribute to errors. If the data used to develop an algorithm are flawed – for instance, if they use medical records that contain errors, the algorithm’s output will be incorrect. Therefore, patients may suffer discrimination or psychological harm when in fact they are not at risk of the predicted ailments.

The prospect of AI can over-awe people. Yet, to ensure that AI truly promotes patient welfare, physicians, researchers and policymakers must recognise its risks and proceed with caution.

The Conversation

You Might Also Read: 

Google Technology To Treat UK Health Service Patients:

 

« WEBINAR: How to Secure App Pipelines in AWS
A Virtual Geospatial Fence On Network Access »

Infosecurity Europe
CyberSecurity Jobsite
Perimeter 81

Directory of Suppliers

Clayden Law

Clayden Law

Clayden Law advise global businesses that buy and sell technology products and services. We are experts in information technology, data privacy and cybersecurity law.

Syxsense

Syxsense

Syxsense brings together endpoint management and security for greater efficiency and collaboration between IT management and security teams.

LockLizard

LockLizard

Locklizard provides PDF DRM software that protects PDF documents from unauthorized access and misuse. Share and sell documents securely - prevent document leakage, sharing and piracy.

The PC Support Group

The PC Support Group

A partnership with The PC Support Group delivers improved productivity, reduced costs and protects your business through exceptional IT, telecoms and cybersecurity services.

ZenGRC

ZenGRC

ZenGRC (formerly Reciprocity) is a leader in the GRC SaaS landscape, offering robust and intuitive products designed to make compliance straightforward and efficient.

eSentire

eSentire

eSentire is the authority in Managed Detection and Response Services, protecting the critical data and applications of organizations from known and unknown cyber threats.

Redbud

Redbud

Redbud is a specialist search and recruitment firm for Information Security professionals.

Duo Security

Duo Security

Duo combines security expertise with a user-centered philosophy to provide two-factor authentication, endpoint remediation and secure single sign-on tools.

Ampliphae

Ampliphae

Ampliphae gives you an easy-to-deploy, sophisticated and affordable cloud-discovery, security and compliance platform.

Cytenna

Cytenna

Cytenna Signal is a suite of SaaS (Software-as-a-Service) products that use AI and machine learning to automatically aggregate the latest information about software vulnerabilities.

CyberNews

CyberNews

Cybernews.com is a research-based online publication that helps people navigate a safe path through their increasingly complex digital lives.

SafeStack Academy

SafeStack Academy

SafeStack Academy is an online cyber security and privacy education platform. Our content is designed by experts to suit small businesses, growing companies, and development teams.

NVISIONx

NVISIONx

NVISIONx data risk governance platform enables companies to gain control of their enterprise data to reduce data risks, compliance scopes and storage costs.

The Security Bulldog

The Security Bulldog

The Security Bulldog distills and assimilates open source cyber intelligence to enable security teams to understand threats more quickly, make better decisions, and accelerate detection and response.

Gotham Security

Gotham Security

Gotham Security delivers high-quality penetration testing, malicious adversary simulation, compliance program development, and threat intelligence services.

Zama

Zama

Zama - pioneering homomorphic encryption. We believe people shouldn't care about privacy. Not because it doesn't matter, but because it shouldn't be an issue!

Brightworks Group

Brightworks Group

BrightWorks Group offer comprehensive technology operations and security operations consulting services, tailored to meet your specific needs.

Irys Technologies

Irys Technologies

Irys Technologies specialize in pioneering digital transformation solutions designed to streamline communications and enhance maintenance and operational efficiency for a variety of sectors.

Xcelerate Solutions

Xcelerate Solutions

Xcelerate Solutions is a leading defense and national security company, providing integrated solutions in three service areas – Enterprise Security, Digital Transformation, and Strategic Consulting.

Baselime

Baselime

Baselime, the cloud-native observability platform. Resolve issues in your cloud application before they become problems.

Utilize

Utilize

Utilize is an award-winning technology company with over 25 years of industry expertise, we support hundreds of businesses across London and the South East.