AI4CCAM interview! BSC telling more about ethical issues and responsible AI in automated mobility
AI4CCAM interviewed Atia Cortes, Barcelona Supercomputing Center (BSC), leader of WP3 of the project, working on “Trustworthy AI for CCAM: Ethical, Social and Cultural Implication”.
Atia Cortes is a PhD, Recognised Researcher, Social Link Analytics Unit – Life Sciences Department in BSC.
In this interview, Atia tells us more about ethical issues related to automated vehicles and how to reach a responsibly AI in automated mobility.
As leader of the WP3 in the AI4CCAM project, what are the main ethical issues and risks due to the usage of AI in the automated vehicle?
The unique nature of the future autonomous vehicles, which operate in the physical world, makes ethical considerations especially important at the same level as legal considerations. The safety of passengers and other road users is a significant concern, and the responsibility and accountability for accidents involving autonomous vehicles are complex issues that must be addressed during the design phase. Additionally, the legal and ethical decision-making required of autonomous vehicles, such as deciding between the safety of passengers and other road users, raises difficult questions that require careful consideration. Finally, the potential impact of autonomous vehicles on employment and the economy is another ethical consideration that needs to be addressed by the designer and society.
How do we reach a responsible AI in automated mobility?
It is essential to embrace responsible AI as defined by the EU. Responsible AI makes it possible to consider societal, ethical, and legal values while designing the system, avoiding undesirable outcomes as much as possible. Responsible AI will bring transparent and accountable autonomous mobility.
How can AI4CCAM impact the EU AI-regulation landscape, let us say, in a 5-year horizon?
AI4CCAM must promote the design of transparent and accountable algorithms for autonomous driving. Establishing accountability for AI-based decisions in autonomous vehicles and making AI-based systems as transparent as possible is crucial. Understanding this process will allow us to support the legislator in designing new regulations for the sector.
AI4CCAM has to play a leading role in setting the global gold standard for AI-based autonomous mobility, which will be essential for the new legislation.