According to a recent study by Juniper Networks, the integration of AI is considered a top strategic priority by most IT decision-makers. However, the research also revealed one of the most widespread concerns among companies: the lack of clear governance policies around artificial intelligence.
Given these results, companies should focus on how to implement AI solutions on ethical and socially responsible grounds.
Why Do We Need Ethical & Responsible Artificial Intelligence?
One of the biggest challenges that ethical AI faces is the lack of references. The industry lacks shared values and a common definition of ethical AI, and this creates uncertainty.
At Citibeats, we strongly believe that ethics play a central role in AI development, especially if we take into consideration AI applications used to solve pressing problems in society. Microsoft, IBM, the Pontifical Academy for Life, FAO, and the Italian Ministry of Innovation have pledged their commitment to AI ethics by signing the “Rome Call for AI Ethics,” a document that supports an ethical approach to artificial intelligence.
At Citibeats, we strongly believe that ethics play a central role in AI development, especially if we take into consideration AI applications used to solve pressing problems in society.
The fAIr LAC experience
Irene Arias (CEO of IDB Lab), Marcelo Cabrol (IDB Social Sector Manager), Rafael Figueroa (CEO of Portal Telemedicina), Irene Velasco (CEO of helKi), Jesús Cepeda, (CEO of OS City), and Ivan Caballero (CEO of Citibeats) got together to discuss the positive impact of the self-assessment for ethical AI startups and share their expertise in driving ethical and responsible AI solutions.
The event represented a first fundamental step towards the development of a new artificial intelligence paradigm that puts people and the planet at the center of its focus.
The Citibeats platform brings together ethics and artificial intelligence to transform people’s opinions into actionable data.
From the ethics point of view, our analysis guarantees:
- Respect for privacy: Data is aggregated and anonymized.
- Bias removal: The training process of the AI, the extraction of insights, and the interpretation of those insights are designed to reduce bias.
- Positive social impact: Use cases focus on migration, health, natural disaster prevention, violence against women, and more.
As far as the AI part is concerned, our algorithms combine machine learning technology and natural language processing to transform people’s opinions into data.
Citibeats was one of the first four tech startups to successfully implement the fAIr LAC self-assessment tool. It helped us strengthen our platform by reinforcing two key points: the detection of bias and the ethical use of our technology. This indirectly meant the promotion of diversity and the integration of opinions from people usually excluded. Moreover, the fAIR LAC tool helped us assess how our clients use the Citibeats platform for ethical projects with a positive social impact.
“We are proud to be one of the first tech startups to pass the fAIr LAC certification,” says Ivan Caballero, CEO of Citibeats. “The self-assessment tool helped us confirm the strength of our mission and the value of our proposal...Together with IDB Lab and fAIr LAC, we are creating the background for a new way to think about the interaction between people and technology.”