I am regularly asked to summarize my many posts. I thought it would be a good idea to publish on this blog, every Monday, some of the most relevant articles that I have already shared with you on my social networks. Today I will share some of the most relevant articles about Artificial Intelligence and in what form you can find it in today’s life. I will also comment on the articles.
On Mindmatters.ai: https://mindmatters.ai/2021/04/artificial-intelligence-slams-on-the-brakes/
Artificial Intelligence slams on the brakes. The problem of autonomous cars suddenly slamming the brakes is becoming well known and it has no known fix. Have a read, quite interesting to understand some growing pain issues with autonomous cars and the use of AI.
On HealthcareItnews.com: https://www.healthcareitnews.com/news/how-help-c-suite-leaders-and-clinicians-trust-artificial-intelligence
How to help C-suite leaders and clinicians trust artificial intelligence. A healthcare AI expert offers advice to help health system CEOs and CIOs, physicians and nurses appreciate the promise of burgeoning machine learning technologies. HelathTech is the activity most benefiting from AI. This article explains how the day to day users will need to start trusting the technology.
The New (if Decidedly Not ‘Final’) Frontier of Artificial Intelligence Regulation. The week of April 19 was an eventful one for practitioners following the evolution of potential artificial intelligence (AI) enforcement both in the United States and abroad, answering some questions regarding which regulators were going to take a more active and prospective role in regulating and advising on AI use and what those roles might look like. In addition, and perhaps more importantly for advisers and their clients, the announcements from the U.S. Federal Trade Commission (FTC) and the European Commission (EC) provided insight into what organizations using AI might do prospectively to mitigate enforcement concerns and prepare for future responses.
On the National Law Review: https://www.natlawreview.com/article/wondering-how-to-use-ai-ftc-has-some-thoughts
Wondering How To Use AI? The FTC Has Some Thoughts. The FTC recently provided guidance to companies on how to use artificial intelligence with an aim for “truth, fairness and equity.” The FTC reminded companies of three laws it enforces which have lessons for those in the AI space: Section 5 of the FTC Act (which would prohibit unfair algorithms, for example); the Fair Credit Reporting Act (which would prohibit algorithms that might deny housing, as an example); and the Equal Credit Opportunity Act (which would prohibit algorithms that might result in credit discrimination on the basis of race, as an example).
On The Wall Street Journal.com: https://www.wsj.com/articles/frances-macron-seeks-broader-counterterror-surveillance-11619629713
France’s Macron Eyes Artificial Intelligence to Monitor Terrorism. The move comes as the French president comes under pressure to crack down on terrorism and Islamist separatism.
On the Bulletin.org: https://thebulletin.org/2021/04/watch-now-ai-era/
Watch now—The Artificial Intelligence Era: What will the future look like? Watch the Bulletin virtual program, “The AI Era: What will the future look like?” featuring Missy Cummings and Eric Horvitz in conversation with Nadya Bliss. In this conversation, you’ll hear about the National Security Commission on Artificial Intelligence’s Final Report and how AI can negatively amplify existing threats while simultaneously offering a path forward to international stability, if used wisely.
On Urgentcomm.com: https://urgentcomm.com/2021/04/28/artificial-intelligence-adds-smarts-to-iot-platforms/
Artificial intelligence adds smarts to IoT platforms. The Internet of Things’ killer app might be artificial intelligence. While it may be a stretch to classify artificial intelligence (AI) and its multifaceted offshoot machine learning (ML) as true applications, these techs can profoundly change IoT operations. AI makes IoT networks smarter and able to scale as needed without the risk of uncontrollable growth. IoT operations is an ongoing struggle to try to ensure that the thousands or more devices run properly and safely on an enterprise network and that the data that’s being collected is both accurate and timely. While the sophisticated back-end analytics engines do the heavy lifting of processing the steady stream of data, ensuring the quality of the data itself is often left to somewhat archaic methodologies.