Everybody is tapping into the Artificial Intelligence (AI) space, still trying to understand how this technology will disrupt and enhance industries. AI is continuously changing how we think about everyday life’s functions, including how we work, learn, and even how companies operate their businesses.
Through mobile applications, AI is helping to intelligently search and seek an expanded possibility of solutions.
Simply put, “artificial intelligence is a field, which combines computer science and robust datasets, to enable problem-solving. It also encompasses sub-fields of machine learning and deep learning, which are frequently mentioned in conjunction with artificial intelligence,” according to the dictionary’s definition of the term.
Its capability has been applied to multiple ways in recent years. From the ways, users are already engaged with mobile apps and technology, which enables voice or language recognition, to the way some law enforcement agencies use AI using facial recognition software.
“I think technology is a very specific term,” said Nicole Alexander, Head of Global Marketing at Meta, the head umbrella company for companies such as Facebook and Instagram. Alexander also is the Professor of Marketing and Technology at NYU.
“Technology permeates every element of our society,” she says.
It’s AI technology that is piecing its way into our everyday lives, from mobile apps, which predict how an individual or their children may look in the future, to AI, which is computerizing tasks once operated by human beings.
While working for a social media giant that has its eyes on the future realities of AI, in her role as professor, Alexander is advocating for the cautions and protections that must be taken in this new reality of dealing with the revolutionizing era that embarks.
“Hopefully everyone either developing AI, acquiring AI, thinks about the elements of governance, responsibility, and making sure the training sets are diverse enough in order to not cause harm and really think about all the impact and AI benefits once it goes out into the wild.”
Alexander believes as an ecosystem begins to develop around what this new frontier means and as rules begin to be explored, she finds it important for businesses to be able to tap into what AI can do for them.
“What are some of the frameworks that small businesses can pre-empt as well as large companies – what should they be doing to develop more responsible and ethical AI systems and thinking about marginalized communities when it comes to those frameworks.”
Whether it’s technology surveillance for law-enforcement matters or the concern for how AI is applied unfairly toward certain groups, Alexander finds it’s not just about how AI is developed but how it’s executed in communities equally and equitably.
“A lot of times when we hear stories about AI it’s because of all of the harmful effects that AI systems have had, especially on marginalized communities. Many times, those harms were not purposely caused to acquire this system to specifically harm this community, it’s really about having the right voices at the table.”
AI hasn’t just become the playground for tech entrepreneurs and private sector think techs; it’s a growing conversation and even application into how governments currently use AI, apply it for future use, and regulate it.
“AI has a lot of positives when it comes to the government,” Alexander says. “It’s able to think about more optimal health care systems. It’s able to think about urban planning and the needs of communities such how different roads are constructed.”
Alexander excels in her corporate marketing role and higher educational functions. Every day, she prepares graduate students to go out looking for their first job to understand how AI can have a positive effect.
“From use cases that we see in society or through theory, how would do something differently if you have a voice in the room? It’s important not only to train tomorrow’s executives but also train yesterday’s executives.”
She finds her work in training executive leaders critical in getting them to understand not so much the technical side of AI but knowing the underlying effects that their decisions have.
“The more that they understand what their role and responsibility is from a leadership perspective, they then also able to talk to individuals coming into their organization, whether it be public, private, etcetera, on how they should be developing their AI systems.”
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