Nothing challenges the effectiveness of data protection law like technological innovation. You think you have cracked a technology neutral framework and then along comes the next evolutionary step in the chain to rock the boat. It happened with the cloud. It happened with social media, with mobile, with online behavioural targeting and with the Internet of Things. And from the combination of all of that, artificial intelligence is emerging as the new testing ground. 21st century artificial intelligence relies on machine learning, and machine learning relies on…? You guessed it: Data. Artificial intelligence is essentially about problem solving and for that we need data, as much data as possible. Against this background, data privacy and cybersecurity legal frameworks around the world are attempting to shape the use of that data in a way that achieves the best of all worlds: progress and protection for individuals. Is that realistically achievable?
As previously reported, on Thursday, March 9th, the Federal Trade Commission (FTC) hosted a forum on the consumer implications of recent developments in artificial intelligence (AI) and blockchain technologies. This is the second of two entries on the March 9th FinTech Forum and focuses on the discussions surrounding blockchain technologies, in which panelists reflected on the nascent stage of the technology, industry representatives expressed confusion over the applicability of current regulation, and regulators expressed a lack of clarity over jurisdictional questions.
On Thursday, March 9th, the Federal Trade Commission (FTC) hosted a forum on the consumer implications of recent developments in artificial intelligence (AI) and blockchain technologies. The FTC acknowledged the benefits of technological developments in AI and blockchain technologies, but stressed that advancements in these technologies must be coupled with an awareness of and active engagement in identifying and minimizing associated risks. This blog post focuses on the AI discussion, which addressed how the values of privacy, autonomy, and fairness are affected by the advent of AI systems as well as how to ensure safety and security in the development and deployment of individual and connected AI systems.
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