1.
Building more ethical
machine learning
models
Merituuli Vainio

2.
Algorithm = recipe executed by a computer
Machine learning = the computer creates a
recipe from the given data independently
Ethics = study of good life, the right & wrong

3.
Machines can not make
ethical decisions

4.
The past is no guarantee of the
future, not even in data. Expect
the unexpected.

5.
Biases may worsen

6.
How to build more
ethical artificial
intelligence
solutions?

7.
1. All of the data should be given
to the algorithm – in the training
phase

8.
2. Ensure that a person, or rather
several people, are accountable
for making decisions

9.
3. Increase your understanding
and study the results to detect
bias

10.
Solita’s ethical guidlines in the use of AI
1. Better life objective – a human-centric approach
2. Professional accountability and awareness for outcomes
3. Multidisciplinary collaboration and transparency
4. Continuous model evaluation and quality assurance
5. Ethics committees and adherence to regulations

11.
Where to get more information?
Our professionals’ views:
A Data Scientist’s ABC to AI ethics, part 1 – About AI and ethics
https://data.solita.fi/tag/ai-ethics/
Machines as Social Agents
https://www.palvelumuotoilu.fi/en/machines-as-social-agents/
Material from research institutes:
The AI Now Institute at New York University is an interdisciplinary research center dedicated to
understanding the social implications of artificial intelligence. https://ainowinstitute.org/
Santa Clara University Markkula Center for Applied Ethics serves professionals in fields from business
to health care, from government to the social sector, providing innovative approaches to problems from
fake news to privacy protection. https://www.scu.edu/ethics/about-the-center/

12.
Thank you!
Merituuli Vainio
+358 44 339 8639
merituuli.vainio@solita.fi
linkedin.com/in/merituulivainio
@Vainime