Recently, Twitter announced that it is establishing responsible ML initiative. According to the company, the journey to responsive and responsible ML systems is a collaborative one. Responsible ML comprises the following aspects.
- Taking responsibility of the algorithmic decisions
- Fairness and equity of the outcomes
- Enabling the choice between agencies and algorithms
- Transparency about the decisions
The use of technology with responsibility can include assessing the effects it can have in the future. When Twitter will use ML, it can affect hundreds and millions of people across the world positively. For instance, the users of Twitter can tweet quickly. On the contrary, things can go different too. twitter responsible ml.
These minor changes can change the way people interact with Twitter. Twitter said that the company wants to study the changes and implement measures to increase user experience on its platform. Twitter said that the technical solutions alone cannot resolve the harmful impacts of the algorithmic decisions. responsible ml initiativebellengadget.
That’s why the company has constituted a ML working group made up of individuals from across the organization. For instance, the team includes professionals from research, trust, safety, and technical teams. Leading the group is META. META is the acronym for ML Ethics, Transparency and Accountability. profile twitter machine learning ethics transparency. twitter responsible ml initiativebellengadget.
The META team of Twitter comprises a group of dedicated engineers, data scientists and researchers. These professionals will play a key role in analyzing the errors in the algorithms. Twitter also announced that the company is working on creating explainable ML solutions. twitter learning ethics transparency accountability responsible.
This will help the users to better understand the solutions of Twitter. Moreover, algorithmic choice will allow people to offer kore input. This will be helpful for Twitter in fine-tuning their services. Twitter also announced that it will share its learnings and ask for feedback.