Every day humanity is using technologies based on Artificial Intelligence in an increasing number of systems and tools, which are often or not included in the daily routine. For example: reading or sending email messages, driving an autonomous or semi-autonomous vehicle. It can reduce the need for human presence in risky, monotonous and tiring activities, freeing the person for less dangerous and more challenging and stimulating activities.
At the same time, Artificial Intelligence can increase existing risks and bring new ones. To avoid such a situation, it is necessary to develop new Artificial Intelligence algorithms, or use them in new and innovative ways, taking into account ethical, social and legal issues.
The debate on the subject took place at the third round table that integrated the diverse programming of the 2022 edition of ABES CONFERENCE, organized in partnership with The Shift portal. The event, free of charge and in a hybrid format, brought together leading international and national experts in the ecosystem of innovation, artificial intelligence, digital transformation, machine learning, open innovation and the future of work, on November 7, 2022. The conference was master sponsored by Amazon Web Services (AWS) and TOTVS.
Under the theme “Global Perspectives and Best Practices of Responsible AI” and mediation by Eduardo Paranhos, leader of the ABES AI Working Group, theRoundtable participants made it clear that trust is key to advancing AI and Machine Learning systems. It is urgent to ensure accountability, ethics and transparency of applications, by design, through corporate practices and regulations that protect citizenship and the individual rights of all.
Luke Gbedemah, an English journalist specializing in Artificial Intelligence and corporate responsibility at Tortoise Media, commented that the discussion of ethics and responsibility is very important as the data must have comparable factors. In his speech, when commenting that the Brazilian economy is the largest in Latin America, Luke pondered that Brazil produces high quality research in Artificial Intelligence.
“The Brazilian population is committed to open source AI and the number of people interested in the technology is high when compared to its neighbors such as Argentina and Chile. Despite this robust data, it is necessary to clarify that responsible AI is a standard to ensure that artificial intelligence is safe, reliable and impartial, ensuring that AI and Machine Learning models are robust, explainable, ethical and efficient”, highlighted the journalist.
According to Ashley Casovan, Executive Director of the Responsible AI Institute, it is important that the market offers certification programs and guidelines to leverage existing principles and standards to regulate the responsible use of artificial intelligence, especially in the public management sector.
Miriam Wimmer, professor and researcher, considers that we are experiencing a global moment of reflection on the use of AI and that there is a need for multiple regulations. “We are about to have an AI regulatory framework. Technology increasingly impacts the public life of states and the private life of citizens. We cannot look at foreign approaches, as our scenario is very different from what happens there. Here we have a differentiated approach and positioning with specific objectives”.
For Diogo Costa, president of ENAP (National School of Public Administration), the great challenge lies in training people in Artificial Intelligence. “Technology is only powerful when there are people who can develop and adopt it,” he said.
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