transparency is. a challenge in present day governence. in many countries.How can AI address this problem
Answers
Answer:
France Diplomacy
Open menu
Choose a language
English
THE MINISTRY
FOREIGN POLICY
COUNTRY FILES
COMING TO FRANCE
SEARCH
Press RoomPress Room
French Foreign Policy Digital Diplomacy
Increase text size Decrease text size Add our RSS feed
Transparency and accountability: the challenges of artificial intelligence
Share
Share on Twitter
Share on Facebook
Partager sur Linkedin
Artificial intelligence (AI) and its potential applications are developing extremely quickly and we are witnessing a genuine digital revolution. Some practical applications are major steps forward. Artificial intelligence improves calculations, medical diagnoses and forecasts, in areas such as the weather and road traffic. It helps optimize production capacities and strengthens cyber security.
However, faced with this radical transformation of our societies, we must not lose sight of the risks attached to such technologies, such as :
• Development in the private sector of algorithms not subject to French or European regulation and which lack transparency ;
• Possible breaches of privacy, violations of confidentiality, data loss or discrimination ;
• Unresolved issues of responsibility in cases of “machine error”.
Answer:
Artificial intelligence (AI) and its potential applications are developing extremely quickly and we are witnessing a genuine digital revolution. Some practical applications are major steps forward. Artificial intelligence improves calculations, medical diagnoses and forecasts, in areas such as the weather and road traffic. It helps optimize production capacities and strengthens cyber security.
However, faced with this radical transformation of our societies, we must not lose sight of the risks attached to such technologies, such as :
• Development in the private sector of algorithms not subject to French or European regulation and which lack transparency ;
• Possible breaches of privacy, violations of confidentiality, data loss or discrimination ;
• Unresolved issues of responsibility in cases of “machine error”.