Science & Tech

Concerns and Regulations Regarding Artificial Intelligence (AI) in Healthcare

Artificial intelligence (AI) was regarded as a game-changing technology in the early twenty-first century. Although it has had its ups and downs, its current rapid and pervasive applications have been dubbed the “second coming” of AI. It is used in a variety of industries, and there is a push to develop practical applications that will improve our daily lives and society. Healthcare is an extremely promising, but also difficult, domain for AI.

ChatGPT: The most recent model

  • AI applications are rapidly evolving, despite the fact that they are still in their early stages.
  • ChatGPT, for example, is a large language model (LLM) that employs deep learning techniques trained on text data.
  • This model has been used in a wide range of applications, including language translation, text summarisation, conversation generation, text-to-text generation, and many more.

What is Artificial Intelligence?

  • AI is a set of technologies that enables machines to act with greater intelligence and to mimic human abilities to sense, comprehend, and act.
  • Natural language processing and inference engines can help AI systems analyse and comprehend the data they collect.
  • An AI system can also act in the physical world by utilising technologies such as expert systems and inference engines.
  • These human-like abilities are enhanced by the ability to learn from experience and continuously adapt over time.
  • AI systems are increasingly being used to supplement these capabilities in a variety of industries.

Concerns about the use of AI tools in the medical field

  • Misinformation has the potential to be spread: Because the model is trained on a large volume of data, it may include incorrect information in its responses inadvertently. As a result, patients may receive incorrect or harmful medical advice, potentially resulting in serious health consequences.
  • The possibility of bias being introduced into the results: As the model is trained on data, it may reinforce existing biases and stereotypes, resulting in inaccurate or unfair conclusions in research studies and routine care.
  • Concerns about ethics: Furthermore, AI tools’ ability to generate human-like text can raise ethical concerns in a variety of fields, including research, education, journalism, and law.
  • For instance, the model can be used to generate bogus scientific papers and articles, which could deceive researchers and mislead the scientific community.

Given the context, AI tools should be used with caution

  • Governance framework: The governance framework can aid in the management of potential risks and harms by establishing standards, monitoring and enforcing policies and regulations, providing feedback and reports on their performance, and ensuring development and deployment in accordance with ethical principles, human rights, and safety considerations.
  • Increasing awareness of potential negative consequences: Governance frameworks can also promote accountability and transparency by making researchers and practitioners aware of the potential negative consequences of implementing this paradigm and encouraging them to use it responsibly.
  • A platform for dialogue and information exchange: The implementation of a governance framework can provide a structured approach to dialogue and facilitate the exchange of information and perspectives among stakeholders, resulting in the development of more effective problem solutions.

A method for effectively implementing AI regulation in healthcare

  • Incorporating the relational governance model into the AI governance framework: Relational governance is a model for AI governance that takes into account the relationships between various stakeholders.
  • Establishing international agreements and standards: At the international level, the establishment of international agreements and standards can help to facilitate relational governance in AI in healthcare (AI-H). This includes data privacy and security agreements, as well as ethical and transparent AI development.
  • International collaboration can help to ensure that AI is used in a consistent and responsible manner across borders by establishing a common understanding of the responsibilities of each stakeholder in AI governance.
  • National government regulations include: Relational governance in AI-H can be implemented at the national level through government regulations and policies that reflect the roles and responsibilities of each stakeholder. This includes data privacy and security laws and regulations, as well as policies that encourage the ethical and transparent use of AI-H.
  • Regular monitoring and a strict compliance mechanism are in place: Establishing periodic monitoring/auditing systems and enforcement mechanisms, as well as imposing sanctions on the industry for noncompliance with legislation, can all help to promote the appropriate use of AI.
  • User education and awareness: Patients and healthcare providers should be informed about the benefits and risks of AI, as well as their rights and responsibilities when using it. This can aid in the development of trust and confidence in AI systems, as well as encourage the responsible use of AI-H.
  • Initiatives and standards spearheaded by the industry: Industry-led initiatives and standards can help to promote relational governance in AI-H. Establishing industry standards and norms (for example, the International Organization for Standardization) based on user requirements (healthcare providers, patients, and governments), as well as implementing data privacy and security measures in AI systems, are examples of this.

@the end

India’s presidency of the G20 summit provides a platform for launching a dialogue on AI regulation and emphasising the importance of implementing AI regulations in healthcare. The G20 members can work together to develop AI regulations that take into account the unique needs and challenges of the healthcare sector. The set of measures, carried out at various levels, must ensure that AI systems are reviewed and updated on a regular basis, and that they remain effective and safe for patients.

And get notified everytime we publish a new blog post.