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Five Pointers for Creating a Moral Generic AI Policy



Five Pointers for Creating a Moral Generic AI Policy

For marketers, generative AI has emerged as a crucial tool for content generation. Although playing with the tool and seeing how quickly it can produce seemingly intelligent outputs is entertaining, responsible use of the technology is crucial.

However, how can we set boundaries and encourage artistic experimentation at the same time?

As cliché as it may sound, the solution is to draft a thorough generative AI policy.

Here are five doable measures to take into account when drafting such a policy and how to use it successfully throughout the company.

Describe important terminology

Don’t presume that everyone understands the jargon of generative AI. Employee miscommunication and divergent definitions are eliminated when there is agreement on a common language.

Input, output, generative AI, generative AI tool, and generative AI-assisted content are important terms. and the list goes on. These definitions will need to be updated and expanded upon throughout time in light of the changing environment.

Establish an unambiguous list of dos and don’ts

The greatest way to simplify difficult ethical concepts is to compile a useful list of appropriate conduct.

Though it is the cornerstone of the generative AI policy, this list is frequently presented as an appendix.

Employees can respect intellectual property rights pertaining to text, images, sound, and video that they obtain from third parties by adhering to a set of dos and don’ts.

As an illustration:

Don’t include proprietary, sensitive, or confidential information about your business or your clients in the training data or input.

Never utilize input or prompts to copy previously completed work.

Don’t provide any personally identifiable information.

Don’t use any generative AI technology without consulting a human.

Make sure you maintain thorough records of all the inputs, outputs, licenses, and rights for your data.

Be upfront about the fact that a piece of content was produced by a generative AI tool.

Express agreement regarding the usage of tools

It is crucial to specify precisely which tools are authorized for use across the entire organization and to let every employee know about this.

Some businesses choose not to offer their general clearance for the use of generative AI tools. When a member of the team wishes to utilize a tool, the steering committee or clearance process is consulted. This is a cumbersome and slow process.

You don’t want to discourage experimentation and creative thinking. It is preferable to promote play, but only within well-established moral and legal bounds.

If you decide to use the green-listing method, provide brief justifications for each tool’s approval or disapproval. For instance, “We would not own any of the inputs or outputs, which is why this tool is on the red list.” Alternatively, “This tool lacks terms and conditions, which is why it is on the red list.”

Clearly state your ethical principles

Since generative AI tools are still in their infancy, there are legitimate questions concerning the methods by which they are employed and educated. Your policy should make the company’s moral compass very apparent.

As an illustration:

Don’t utilize the output to produce deceptive, false, unfair, or damaging content.

Choose and employ inputs that steer clear of dangerous, offensive, and discriminating information.

Observe privacy laws and defend people’s rights.

Define supervision and management

Indicate who in the company will be in charge of managing your generative AI green list and the implementation of authorized tools, who will be in charge of examining prospective new and upcoming features and tools, and who will be in charge of responding to incident reports and legal inquiries. Share this information broadly and concisely.

To get you started, these are just five of the fundamentals. However, keep in mind that your policy is a living document. Since generative AI is a dynamic field, the policy will also need to adapt, requiring regular evaluations and revisions.

Everyone in the team should receive training on the policy and have access to it via a corporate site as soon as it’s ready. Training should pay special attention to any green and red lists as well as the dos and don’ts.

Not to mention, always be receptive to input from your teams. Your generative AI policy will benefit from a variety of perspectives, just as a training set for generative AI must have a wide range of sources in order to be effective.


Biden, Kishida Secure Support from Amazon and Nvidia for $50 Million Joint AI Research Program



As the two countries seek to enhance cooperation around the rapidly advancing technology, President Joe Biden and Japanese Prime Minister Fumio Kishida have enlisted Inc. and Nvidia Corp. to fund a new joint artificial intelligence research program.

A senior US official briefed reporters prior to Wednesday’s official visit at the White House, stating that the $50 million project will be a collaborative effort between Tsukuba University outside of Tokyo and the University of Washington in Seattle. A separate collaborative AI research program between Carnegie Mellon University in Pittsburgh and Tokyo’s Keio University is also being planned by the two nations.

The push for greater research into artificial intelligence comes as the Biden administration is weighing a series of new regulations designed to minimize the risks of AI technology, which has developed as a key focus for tech companies. The White House announced late last month that federal agencies have until the end of the year to determine how they will assess, test, and monitor the impact of government use of AI technology.

In addition to the university-led projects, Microsoft Corp. announced on Tuesday that it would invest $2.9 billion to expand its cloud computing and artificial intelligence infrastructure in Japan. Brad Smith, the president of Microsoft, met with Kishida on Tuesday. The company released a statement announcing its intention to establish a new AI and robotics lab in Japan.

Kishida, the second-largest economy in Asia, urged American business executives to invest more in Japan’s developing technologies on Tuesday.

“Your investments will enable Japan’s economic growth — which will also be capital for more investments from Japan to the US,” Kishida said at a roundtable with business leaders in Washington.

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OnePlus and OPPO Collaborate with Google to Introduce Gemini Models for Enhanced Smartphone AI



As anticipated, original equipment manufacturers, or OEMs, are heavily integrating AI into their products. Google is working with OnePlus, OPPO, and other companies to integrate Gemini models into their smartphones. They intend to introduce the Gemini models on smartphones later this year, becoming the first OEMs to do so. Gemini models will go on sale later in 2024, as announced at the Google Cloud Next 24 event. Gemini models are designed to provide users with an enhanced artificial intelligence (AI) experience on their gadgets.

Customers in China can now create AI content on-the-go with devices like the OnePlus 12 and OPPO Find X7 thanks to OnePlus and OPPO’s Generative AI models.

The AI Eraser tool was recently made available to all OnePlus customers worldwide. This AI-powered tool lets users remove unwanted objects from their photos. For OnePlus and OPPO, AI Eraser is only the beginning.

In the future, the businesses hope to add more AI-powered features like creating original social media content and summarizing news stories and audio.

AndesGPT LLM from OnePlus and OPPO powers AI Eraser. Even though the Samsung Galaxy S24 and Google Pixel 8 series already have this feature, it is still encouraging to see OnePlus and OPPO taking the initiative to include AI capabilities in their products.

OnePlus and OPPO devices will be able to provide customers with a more comprehensive and sophisticated AI experience with the release of the Gemini models. It is important to remember that OnePlus and OPPO already power the Trinity Engine, which makes using phones incredibly smooth, and use AI and computational mathematics to enhance mobile photography.

By 2024, more original equipment manufacturers should have AI capabilities on their products. This is probably going to help Google because OEMs will use Gemini as the foundation upon which to build their features.

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Meta Explores AI-Enabled Search Bar on Instagram



In an attempt to expand the user base for its generative AI-powered products, Meta is moving forward. The business is experimenting with inserting Meta AI into the Instagram search bar for both chat with AI and content discovery, in addition to testing the chatbot Meta AI with users in nations like India on WhatsApp.

When you type a query into the search bar, Meta AI initiates a direct message (DM) exchange in which you can ask questions or respond to pre-programmed prompts. Aravind Srinivas, CEO of Perplexity AI, pointed out that the prompt screen’s design is similar to the startup’s search screen.

Plus, it might make it easier for you to find fresh Instagram content. As demonstrated in a user-posted video on Threads, you can search for Reels related to a particular topic by tapping on a prompt such as “Beautiful Maui sunset Reels.”

Additionally, TechCrunch spoke with a few users who had the ability to instruct Meta AI to look for recommendations for Reels.

By using generative AI to surface new content from networks like Instagram, Meta hopes to go beyond text generation.

With TechCrunch, Meta verified the results of its Instagram AI experiment. But the company didn’t say whether or not it uses generative AI technology for search.

A Meta representative told TechCrunch, “We’re testing a range of our generative AI-powered experiences publicly in a limited capacity. They are under development in varying phases.”

There are a ton of posts available discussing Instagram search quality. It is therefore not surprising that Meta would want to enhance search through the use of generative AI.

Furthermore, Instagram should be easier to find than TikTok, according to Meta. In order to display results from Reddit and TikTok, Google unveiled a new perspectives feature last year. Instagram is developing a feature called “Visibility off Instagram” that could allow posts to appear in search engine results, according to reverse engineer Alessandro Paluzzi, who made this discovery earlier this week on X.

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