Generative AI in 2023 – 6 Must-See Developments

Jan 31, 2023

Luis J. Salazar

Generative AI has been making waves in the tech industry for years, but in late 2022 it truly broke into the mainstream. ChatGPT’s rapid adoption – faster even than the adoption of the iPhone and Facebook – shows just how transformative this technology can be. So what can we expect from generative AI in 2023? Here are six trends to watch out for.

1- Web Search 3.0 arrives:

The emergence of generative AI has revolutionized online search. was the first to capitalize on this with its innovative user interface and conversational AI capabilities. But it won’t be long before Bing (update, it was released in Feb 2023) and Google catch up, with both companies set to launch search powered by GPT-3 and other advanced models. While this will surely shake up the industry, it also presents a challenge for Google as it looks to develop new monetization strategies for its conversational AI offerings. In the short term, we expect to see an impact on Google’s financials as it adapts to these changes.

2- An boom of Domain Specific Search powered by conversational AI.

Conversational AI will drive a boom in domain-specific solutions. Just as the explosion of online content gave rise to niche aggregators in areas like travel, food and beverage, and online shopping, the next generation will be powered by advanced conversational AI models like those developed by OpenAI.

3- Conversational AI as a standard communication, collaboration, and networking feature.

In 2023, conversational AI will become a standard feature across all significant productivity, collaboration tools, and social networks. Microsoft Office, Google Workspaces, Canva, Slack, YouTube, LinkedIn, and, sadly, Meta properties will integrate conversational AI as domain-specific assistants to help with tasks like content creation and collaboration or connecting with others. These AI concierges will make it easier for users to get the most out of these platforms and streamline their workflows.”

4- An explosion of new ventures.

As artificial intelligence (AI) continues to advance and become more prevalent, it will likely significantly impact various industries, including legal services, banking and investing, education, and healthcare. In addition to its potential to revolutionize search, productivity, and creative tasks, AI is poised to play a more prominent role in these sectors in the coming year.

However, the increasing use of AI in the services industry will also necessitate the evolution of laws and regulations to address potential liabilities and other legal issues.

5- A call to digitize content to mitigate the inherited biases in the existing AI models.

As we move into 2023, addressing the inherited biases in current AI models will be more critical than ever. One way to do this is by digitizing more diverse content and creating more inclusive training datasets. This will be especially crucial for underrepresented Black, Hispanic, and other minority populations. To make this happen, we need the support of venture capital, corporate development, governments, and large foundations.

By prioritizing the creation of datasets for fields such as climate, education, healthcare, mental health, and disabilities, we can help ensure that AI models are more representative and equitable for all.

6- An Urgency in developing guardrails to fight misinformation.

As we look ahead to the potential of generative AI in 2023, it’s essential to address this technology’s potential downsides. A significant concern is the spread of misinformation through conversational AI. This can be especially insidious because the technology is designed to create an instant connection with the user, making it easier for false information to be perceived as truthful.

Generative AI will play an ever-larger role in our lives in 2023. We must create the necessary guardrails and oversight systems to ensure the technology is used for good. We must also prioritize the digitization of more diverse content and the development of inclusive training datasets. By doing so, we can ensure that the promise of generative AI is realized responsibly and ethically.

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