Accéder au contenu principal

EU approves controversial AI Act to mixed reactions

The European Parliament today approved the AI Act, the first ever regulatory framework governing the use of AI systems. The legislation passed with an overwhelming majority of 523 votes in favour, 46 against and 49 abstentions.

“This is a historic day,” said Italian lawmaker Brando Benifei, co-lead on the AI Act. “We have the first regulation in the world which puts a clear path for safe and human-centric development of AI.”

The AI Act will categorise AI systems into four tiers based on their potential risk to society. High-risk applications like self-driving cars will face strict requirements before being allowed on the EU market. Lower risk systems will have fewer obligations.

“The main point now will be implementation and compliance by businesses and institutions,” Benifei stated. “We are also working on further AI legislation for workplace conditions.”

His counterpart, Dragoş Tudorache of Romania, said the EU aims to promote these pioneering rules globally. “We have to be open to work with others on how to build governance with like-minded parties.”

The general AI rules take effect in May 2025, while obligations for high-risk systems kick in after three years. National oversight agencies will monitor compliance.

Differing viewpoints on impact

Reaction was mixed on whether the Act properly balances innovation with protecting rights.

Curtis Wilson, a data scientist at Synopsys, believes it will build public trust: “The strict rules and punishing fines will deter careless developers, and help customers be more confident in using AI systems…Ensuring all AI developers adhere to these standards is to everyone’s benefit.”

However, Mher Hakobyan from Amnesty International criticised the legislation as favouring industry over human rights: “It is disappointing that the EU chose to prioritise interests of industry and law enforcement over protecting people…It lacks proper transparency and accountability provisions, which will likely exacerbate abuses.”

Companies now face the challenge of overhauling practices to comply.

Marcus Evans, a data privacy lawyer, advised: “Businesses need to create and maintain robust AI governance to make the best use of the technology and ensure compliance with the new regime…They need to start preparing now to not fall foul of the rules.”

After years of negotiations, the AI Act signals the EU intends to lead globally on this transformative technology. But dissenting voices show challenges remain in finding the right balance.

(Photo by Tabrez Syed on Unsplash)

See also: OpenAI calls Elon Musk’s lawsuit claims ‘incoherent’

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.

Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: ai, ai act, artificial intelligence, eu, europe, european parliament, law, legal, Legislation, Politics




Source link

The post EU approves controversial AI Act to mixed reactions appeared first on Job From Home Blog.

Commentaires

Posts les plus consultés de ce blog

13 Apps and Websites That Will Pay You To Watch Ads

Do you know you may get paid to look at advertisements? You possibly can, however b efore you get too excited, perceive that watching advertisements will not exchange your day job or purchase you a brand new automotive. They do, nonetheless, create nice alternatives to monetize your downtime.  How To Watch Adverts for Cash Should you personal a smartphone, there are a lot of methods to earn cash on this gig financial system. Watching advertisements is a wonderful method for 14 and 15-year-olds in search of work  to earn money. Earn cash by watching advertisements briefly bursts in your free time, like when your youngsters are napping or throughout a espresso break. You might also be capable to redeem factors without cost Amazon present playing cards or present playing cards from different retailers . Which brings us to the query, how precisely do you receives a commission to look at advertisements, and the way a lot cash are you able to anticipate to make? What websites do y...

How To Repair Metatrader 4’s Off Quotes Error

Off quotes are a common occurrence in forex trading, however they are often frustrating for merchants who’re attempting to execute trades. By understanding the causes of off quotes and taking steps to prevent them, traders can enhance their probabilities of success in foreign currency trading. Choose a dependable broker, use a stable web connection, keep away from buying and selling throughout high volatility periods, and think about using a VPS to run your trading platform. With these tips, you possibly can scale back the chances of encountering off quotes and enhance your general buying and selling experience. Suppose there have been no new costs within the MetaTrader platform on the selected instrument for a while as a end result of connectivity was lost. In that case, these last costs can no longer be treated as market prices, and the platform shows an “off quotes” error to tell users that prices aren’t legitimate anymore. An error code 136 in MT4 means the price entered for exec...

AI research highlights in finetuning ChatGPT-like LLMs

This article is a compilation of 23 AI research highlights, handpicked and summarized. A lot of exciting developments are currently happening in the fields of natural language processing and computer vision! In addition, if you are curious about last month’s highlights, you can find them here: AI Research Highlights In 3 Sentences Or Less (April-May 2023) Direct Preference Optimization: Your Language Model is Secretly a Reward Model ( https://ift.tt/fV1dLTZ , 29 May 2023) Direct Preference Optimization (DPO) is a new alternative to reinforcement learning with human feedback (RLHF) with Proximal Policy Optimization (PPO), which is used for instruction-finetuning models like ChatGPT. Here, the researchers show that the cross-entropy loss for fitting the reward model in RLHF can be used directly to finetune the LLM. According to their benchmarks, it’s more efficient to use DPO and often also preferred over RLHF/PPO in terms of response quality. LIMA: Less Is More for Alignme...