EQ Azalıyor, İş Liderlerinin Durumu Düzeltmek İçin AI’ı Nasıl Kullanabileceği

Dünya’nın EQ’sı Azalıyor, Ancak AI Yardımcı Olabilir.

Son 50 yıl içinde, duygusal zeka küresel olarak azaldı. 2018 yılında ScienceAlert tarafından Peter Dockrill’in yazdığı bir makalede, “Norveç’teki Ragnar Frisch Ekonomik Araştırma Merkezi tarafından yapılan 730.000 sonucun analizi, Flynn etkisinin 1970’lerin ortalarında doğan insanlar için zirveye ulaştığını ve o günden beri önemli ölçüde azaldığını gösteriyor” denildi. Diğer bir deyişle, EQ ve IQ’muz, teknolojinin yükselişi – sosyal medyanın artması, her zaman açık olan bilgisayar ve duyguyu ihmal eden bir deneyim – nedeniyle şu anki dünyada olumsuz şekilde etkilendi.

Yapay zeka, insanların sadece IQ’larını değil, aynı zamanda EQ’larını da geliştirmelerine yardımcı olma potansiyeline sahiptir. Ancak, insan iletişiminin vital bileşenleri genellikle teknoloji söz konusu olduğunda dışlanıyor, bu da sinir bozucu bir kullanıcı deneyimi, değerli içgörüler kaybı, aceleci veya bilgisiz karar verme ve sonuç olarak daha düşük duygusal farkındalığa yol açıyor.

“Beynimizde sosyal etkileşimler için çok fazla nöronumuz var. Bazı becerilerle doğarız ve sonra daha fazlasını öğreniriz. Sosyal beyinlerimize, sadece analitik beyinlerimize değil, teknolojiyi kullanmak mantıklı” dedi Stanford Profesörü Erik Brynjolfsson. “Konuşmayı anladığımız ve makinelerin konuşma yoluyla iletişim kurabildiği gibi, mizah ve diğer türdeki duygularla da anlar ve iletişim kurarız. ve makineler – duyguların dili – daha iyi, daha etkili etkileşimlerimiz olacak.”

4. Endüstri Devrimi’nin ardında, AI teknolojisi, ton, yüz ifadeleri ve vücut dilinin gibi sözlü ve sözsüz insan duygusal göstergelerini tespit etmeye ve yorumlamaya öğreniyor. Algoritmalar, duygu algılama, NLP, duygu analizi, makine öğrenimi ve dilbilim ve psikoloji ile daha büyük bir birleşmenin ilerlemeleri nedeniyle önemli ölçüde iyileşti.

Ses AI İlk Adım İse, Sonraki Adım Nedir?

Ses AI teknolojisi alone, already made its way into billions of end users’ hands through
innovations like Alexa, Siri, and Google Assistant. The voice technology industry is projected to
grow to a staggering $55B by 2026. With all these existing technologies at our fingertips, why
are we still getting frustrated when our messages are not heard?

The answer is simpler than we think. Existing technologies, are in essence, tone-deaf. They lack the ability to recognize the emotions behind our words. While our commands might be heard, our tone is not.

We may have incredible voice technologies that recognize and interpret the meaning behind
language and word choice, but we have also created machines that are missing part of the
picture. Words only make up 7% of human communication. Whereas tone of voice is the
number one passive indicator of what someone is thinking and accounts for nearly 40% of
human communication. A figure too high to ignore.

A new frontier of emotional understanding has arrived in the form of tonal analytics. Tone is
quickly becoming a standard necessity for automated analyses and the future of voice
communication. Voice is everywhere and conversational AI is growing exponentially. Tone, like
voice, is everywhere; however, tone is largely untapped. Tone of voice is needed to bridge the
gap between humans and machines. By incorporating tonal AI with other forms of conversational AI, such as text and body language software, a more comprehensive emotional understanding is generated. Together these technologies intelligently connect all facets of complex and unstructured data to paint a clearer picture of human communication.

Önde Gelen Şirketler

Uniphore, a conversational AI unicorn, provides a customer service platform to improve corporate conversations across calls centers to through the sales process. Uniphore’s technology leverages voice AI, computer vision and tonal emotion. Today, the firm is valued at $2.5 billion with over $620 million in funding and is rapidly expanding internationally. Co-Founder, Umesh Sachdev, noted the importance of conversational intelligence, “Understanding conversations and the data and insights derived from them is essential to every business.” Conversations are only understood when all factors – word choice, body language, facial expressions and tone of voice – are taken into consideration.

Other, more medically-targeted voice AI companies, leverage the nuances in voice to help diagnose patients suffering from different diseases. Sonde Health analyzes vocal biomarkers to identify patients with Parkinson’s disease faster than ever before, allowing for quicker treatment. At CompanionMX, a phone application can help identify patients with depression by analyzing vocal patterns. The data generated builds a well-rounded concept of a patient’s mental state and the app format makes the technology more accessible to end users.

In the world of finance, startup Helios Life Enterprises is translating tonal nuances of executives’ voices into actionable insights to advance how investors make decisions. During earnings calls and other audio or video events, executives distribute a substantial amount of important information via speech. The tone of voice is a channel that leaks emotional information and it is extremely difficult to hide this. Helios is rapidly attracting attention in the finance industry due to its differentiated focus and the fact that it is the only company that generates tonal analytics of executives (more than 4K US equities). Helios accounts for those crucial tonal components necessary to being understood and has created an entirely new channel of insights within the alternative data space ($143.31 billion by 2030).

Bugünden Tonu Düşünmek, Yarının Gelişmelerinden Önce

From call centers to sales to medicine to finance, the use cases for tone are endless and the
question has become: how will tonal insights shape new industries and change existing ones?

As artificial intelligence develops a higher EQ via tonal insights, it is vital that leaders consider
how the technology will play a role in their firms and industries at large.