Principle 

Explainers 

Example  Sources 

Beneficence 

Do work that is to the benefit, not detriment of people. The benefits of the work should outweigh the potential risks 

1,2 

Non-maleficence 

Avoid harm. This is closely related to beneficence  

1,2 

Autonomy 

Enable people to make choices. This requires people to have sufficient knowledge and understanding to decide 

1,2 

Justice 

Be fair— the benefits and risks should be distributed fairly 

1,2 

Explicability 

Explanation about the outputs of algorithmic models as well as the working and assumptions in the models themselves.  

2 

Open research 

Commitment to make research freely open and accessible for reuse  

3 

Community mindedness 

Willingness to collaborate within the health and medical research community which can involve using common platforms. It requires an awareness of the eco-system in which the charity works within and can cross over specific medical conditions. 

3 

Proportionality 

Being proportionate to the relevant risk and potential benefit 

4,5 

Financial & operational sustainability 

Minimise harm of developing/deploying digital technology products and services which produce service user dependencies and cannot be sustained 

5,3,6 

Evidence-driven 

Evaluate your technology/data analysis 

7,6,8 

Innovation 

Support for taking risks- Commitment to creating an environment that enables experimentation 

7 

Know your limitations 

Ensure robust practices and work within your skill set 

8 

Diversity, equality & inclusion 

Explore the impact and utility of tech/data developments on individuals, groups and society at large 

9 

Source references

  1. Bioethics Principles 
  2. Floridi, Luciano & Cowls, Josh & Beltrametti, Monica & Chatila, Raja & Chazerand, Patrice & Dignum, Virginia & Lütge, Christoph & Madelin, Robert & Pagallo, Ugo & Rossi, Francesca & Schafer, Burkhard & Valcke, Peggy & VayenaEffy. (2018). An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations. Link here 
  3. Various authors (launched 2016 and updated on website) Principles for Digital Development. Link here 
  4. Public Health England, HSC Public Health Agency, Public Health Wales, NHS Scotland (2017) Public Health Ethics In Practice. A background paper on public health ethics for the UK Public Health Skills and Knowledge Framework Link here a) Definition taken from Pandemic Flu Link here 
  5. Department Of Health and Social Care (2019) Code of Conduct For Data Driven Health and Care Technology. Link here 
  6. Seven charity CEO’s and AMRC CEO (2018) Promoting More Effective Partnerships In Digital Health: A discussion document 
  7. The Academy Of Medical Sciences (2018) Our Data-Driven Future In Healthcare. People and partnerships at the heart of health related technologies. Link here 
  8. Department For Digital, Culture, Media, Sport (updated 2018) Data Ethics Framework. Link here 
  9. Machine Intelligence Garage (2018) Ethics Framework. Link here