Google Strikes Back On Microsoft

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Major announcements from CEO Sundar Pichai, CEO, Google at the I/O conference yesterday that generative AI will underpin their search, Gmail, and other products.

Coming at the heels of major announcements since January, 2023, Google has been scrambling to get their market positioning and product quality up to snuff. This announcement was applauded after the recent gaffaw in early February, when Google announced its AI chatbot Bard — a rival to OpenAI’s ChatGPT.

The new Google product offering called, The Search Generation Experience, will allow Googlers to submit their own questions and receive a Google response, while retaining its additional search links.

Pichai unveiled that all Google core products are being reimagined. When you think of the shere volume of generative AI combinations that Google can aggregate, they are in an enviable position as they control so much data, from images (photos), video, text, email, documents, software code, etc and being able to create fully formed content that is new is literally breathtaking when you think of the technology innovative curve we are not immersed in.

This feeding frenzy is driven also by the earlier announcements and partnership of OpenAI and Microsoft which have now poured billions into integrating generative AI into Microsoft’s Bing Search, and Microsoft has also announced it will ensure all its products are enabled by generative AI.

I don’t think one can look at these market developments and ask will Google win or Microsoft win?

If you look just at Google, the company still controls 93% of the global search market with Bing coming in second place with just 2.9%. Although Statista.com, gives different data pinning Google at 84.7% and Bing at 8.9% of market share. So Google has a bigger bat to swing in search , for sure.

However, what is really important to understand is the sweeping impacts of generative AI and how will large language model (LLM) AI capabilities underpin all of our world’s global knowledge?

And – what are the risks of increasing technology giant’s power influencing consumers and citizen’s day to day world.

Reality in this new world with generative AI will also bring us more AI hallucinations, AI data bias, Fake Videos, Fake Voices, Fake Mates, etc.

I don’t know about all of you, but I am very concerned about our imbalance and without our AI legislative guard rails coming in and I know they are in the works, but can we just get the job done ?

Let’s also not lose perspective of the wise warnings from Dr. Shoshana Zuboff in her seminal book on Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power, where she raised acute concerns on technology leaders powerful impact on society, and controlling our future realities. Surveillance capitalism is the monetization of data captured through monitoring people’s movements and behaviours online and in the physical world. Consumer surveillance is also most commonly used for targeted marketing and advertising.

A good example of surveillance risks is looking closely at SenseTime which is banned in the USA, and is very like the movie, The Minority Report. China is well known for social scoring of its citizens.

It’s worth understanding how does Google rank its influencers in its vast rich data of content creator ecosystems? We all work to fuel Google. A brilliant business model.

We all get incredibly excited about advancing technology innovations – and I do too – I live in the AI world every day – and my engineering team works with Google’s BERT and they love it. The Google AI/ML toolkits are absolutely world-class.

However, as a certified board director and CEO, mother and a recent grandmother but call me MIMI, I really would like to see more balance on generative AI developments to ensure increased diversity and inclusiveness data monitoring, audit verifications from third party auditors becoming law.

Let’s not forget AI can lie.

And although technology leaders have seriously asked for a pause of advancing generative AI types of technologies, there are no consequences.

Facial Recognition is of particular concern and if you have not read this article from MIT, I recommend you do.

I am speaking at an upcoming Amazon sponsored conference on May 23, organized by WunderHer, Founder, Lori Spicer Robertson, former Chief Diversity Officer of Saks, with a cadre of top Chief Diversity and Inclusiveness Officers across North America. I will be encouraging these incredible leaders to build stronger voices to ensure that we build stronger AI Ethical skills as the real issues are ahead of us in continuing to propagate a world that does not predict the values that we must achieve.

The research and leadership of Dr. Joy Buolamwini, The Founder of the Algorithmic Justice League and Dr. Cathy O’Neil’s research in her book, The Weapons of Mass Destruction are important perspectives to augment our approaches in using generative AI and ensuring we introduce this technology to our world, with thoughtfulness reflecting the world we want to create vs what AI believes is the right answer when trained on biased data sets.

Just in case you did not know this, IBM has a software product that can identify over 300 data bias risks. This is deep auditing.

In the meantime, while still waiting for AI legislation, improved AI Audit controls and deeper data bias controls…..

… Alphabet’s stock price after these announcements went up four percent after their announcements yesterday.



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