Big tech vows action on ‘fake’ AI in elections

Fake AI news

Most of the world’s largest tech companies, including Microsoft, Amazon and Google have agreed to tackle what they are calling deceptive artificial intelligence (AI) in elections

The tech accord

The twenty companies have signed an accord committing them to fighting voter-deceiving content. They say they will deploy technology to detect and counter the material.

The Tech Accord to Combat Deceptive Use of AI in 2024 Elections was announced at the Munich Security Conference on Friday 16th February 2024.

The issue has come into sharp focus because it is estimated up to four billion people will be voting this year in countries such as the U.S., UK and India.

Technology to mitigate risk

Among the accord’s pledges are commitments to develop technology to mitigate risks related to deceptive election content generated by AI, and to provide transparency to the public about the action firms have taken.

Other steps include sharing best practice with one another and educating the public about how to spot when they might be seeing manipulated content.

Signatories include social media platforms X, Snap, Adobe and Meta, the owner of Facebook, Instagram and WhatsApp.

Proactive

However, the accord has some shortcomings, according to computer scientist Dr Deepak Padmanabhan, from Queen’s University Belfast, who has co-authored a report on elections and AI.

But he reportedly said they needed to take more proactive action instead of waiting for content to be posted before then seeking to take it down.

That could mean that realistic AI content, that may be more harmful, may stay on a platform for longer compared to obvious fakes which are easier to detect and remove, he suggested.

Target

The accord’s signatories say they will target content which deceptively fakes or alters the appearance, voice, or actions of key figures in elections.

It will also seek to deal with audio, images or videos which provide false information to voters about when, where, and how they can vote.

We have a responsibility to help ensure these tools don’t become weaponised in elections, Brad Smith, the president of Microsoft is reported to have said.

These measures, in my opinion, are a sticking plaster and will not stop the spread of dishonest and fake news!

Energy hungry data centre power solution

AI data centre

The use of nuclear reactors for data centres is a controversial and complex topic that has both advantages and disadvantages

Nuclear reactors can provide a reliable, stable, and carbon-free source of electricity for power-hungry data centres, which are essential for the operation of various applications, such as artificial intelligence (AI).

Grid overload

Nuclear reactors can also reduce the dependence on the existing grid, which may be vulnerable to blackouts, fluctuations, or cyberattacks. On the other hand, nuclear reactors require a high initial investment, as well as strict safety and regulatory standards. Nuclear reactors also pose potential risks of radiation, waste disposal, and proliferation. Moreover, nuclear reactors may not be suitable for all locations, as they may face public opposition, environmental concerns, or geopolitical issues.

Small Modular Reactor (SMR)

One of the possible solutions to these challenges is to use small modular reactors (SMRs), which are advanced reactors with about a third of the power generation of a traditional, large nuclear plant. SMRs are designed to be more flexible, scalable, and cost-effective than conventional reactors, as they can be built off-site and transported to the desired location. SMRs can also be integrated with renewable energy sources, such as solar or wind, to create a hybrid system that can balance the power demand and supply.

However, the technology of SMRs is still in its early stages of development and deployment, and there are currently no data centres in the world that use built-in nuclear reactors. Therefore, it remains to be seen whether nuclear reactors will become a common or viable option for future data centres. The decision to use nuclear reactors for data centres should be based on a careful evaluation of the benefits and risks, as well as the alternatives and trade-offs, of each specific case.

It has been calculated that a ‘norma’ data centre (whatever that is), needs 32 megawatts of power flowing into the building. For an AI data centre, it’s closer to 80 megawatts.

AI systems are using all this extra electricity simply because they are doing so much more processing than standard computing. They are chewing through far more data.

As AI continues to develop, so too will the power requirement needed to run these monsters.