Can #AI Decode Our Deepest Emotions? Discover with Paul Spiers on Leadership Podcast.
Bridging the Gap.
Do you ever wonder how artificial intelligence (AI) will understand and interpret human emotions in the future? The journey of AI in comprehending the intricacies of human emotions involves a complex blend of learning, understanding, reasoning, and planning.
It’s something I teach about when I train companies in how to use AI and perhaps how their leadership should think about their next steps in the Fifth Industrial Revolution. So it was a real honour to be interviewed on Paul Spier podcast on www.principlesandleadership.com
Every week on The New P&L podcast — ranked in the top 5% of podcasts globally — they speak to some of the business world’s most inspirational leaders and entrepreneurs who offer their deep insights on how to build more purpose-driven businesses led by more principled leaders.
It was my turn this week — in week #236 of this amazing podcast and I was interviewed by the CEO Paul Spiers. Someone I shared the stage with at Future24. (You can see my keynote for this here) Paul is someone who I massively admire due to his ability to quietly hold a room’s attention, with his silences and his deep thinking and wisdom. He helps business leaders & entrepreneurs to build brands with purpose, on purpose. Professional speaker on leadership & purpose-led cultures.
Those of you that have seen me do my public speaking, know I use a slightly different technique to get my messages across. One of those messages is about the Fifth industrial Revolution — INTELLIGENCE — and how we will need to use 4 different intelligences in the future of work to keep ahead.
Those are Artificial, Emotional, Independent, and Organisational Intelligence.
Paul and I, especially chatted about leadership and so emotional intelligence was a major part of this. But also mixed in with what everyone wants me to talk about with my keynotes and training, Artificial Intelligence. Paul really pushed me in the podcast to show how artificial intelligence could be emotional and understand human emotions. But the reality is…
Large Language Models Still Have a Way to Go
Current AI and large language models demonstrate impressive capabilities in processing and predicting logical patterns. However, when it comes to mimicking the depth of human emotional understanding and illogical decisions, there is a significant gap.
AI can predict a journey’s duration based on logic, but understanding the emotional choice to pause and admire the sea indicates a level of comprehension yet to be achieved.Developing AI that perceives and interprets the world not just logically but also emotionally remains a formidable challenge.
These limitations underscore the need for ongoing research and development. The advancement in computational power and data analysis techniques continues to push the boundaries, gradually bridging the gap between AI’s logical prowess and the nuanced understanding of human emotions and illogical choices.
AI and Emotional Predictability
The dialogue around AI’s predictability of human actions provides intriguing insights. With vast amounts of data, AI can predict certain human behaviours with surprising accuracy. Predictive analytics, for example, can foresee personal milestones or preferences by analyzing behavioural patterns. This suggests that while human decisions might seem illogical or spontaneous to us, they might still be predictable to an extent for AI equipped with sufficient data.
However, equating predictability with genuine emotional understanding is misleading. Though AI can predict actions based on probabilities and data patterns, understanding the emotional motivations behind those actions is a different challenge altogether. AI might know that we are likely to do it. But it doesn’t mean it knows WHY…
Business, AI, and Emotions
The application of AI in business showcases its potential in processing not just logical, but also emotional data, albeit in a quantifiable form. AI’s predictive capabilities are revolutionising sectors by providing insights into human behaviour, significantly benefiting marketing, customer service, and product development. This blend of logical and emotional data processing demonstrates AI’s growing sophistication.
Nevertheless, fully grasping the depth of human emotions and using it to enhance business practices without infringing on privacy or autonomy remains a delicate balance. The effectiveness of AI in this domain is tied to ethical considerations and the capacity to respect and protect individual emotional experiences.
(But this doesn’t mean right now — you can’t get AI to help do your marketing with you.)
AI’s Societal Implications
The argument that every advancement in AI for business inevitably seeps into personal lives raises important societal questions. The difficulty in delineating the use of AI between beneficial business applications and potential personal intrusions is significant.
As we are seeing with the worries about the new AI video creation tool Sora. Which I spoke about at length on radio just yesterday…
My point being as AI models and data psychic engines become more integrated into daily life, setting regulatory boundaries to protect personal privacy and autonomy becomes increasingly challenging, mirroring past societal adjustments to innovations like electricity.
Electricity being a force for good. But when not regulated. Something that can and does kill those that abuse its power and something that can cause a lot of harm.
This part of our conversation (listen to the full podcast on the links below) highlights the pressing need for comprehensive dialogues among policymakers, technologists, and the public to navigate the ethical implications of AI’s deeper foray into human emotions and societal functions.
The Future Path of AI and Human Interaction
Exploring the limitations and potential of AI in understanding and interacting with the emotional world presents a complex, evolving narrative. The journey toward AI that genuinely comprehends human emotions involves not only technological advancements but also ethical considerations and societal dialogues.
It prompts us to re-evaluate our relationship with AI, contemplating the balance between leveraging AI for progress while preserving the essence of human spontaneity, intuition, and emotional richness.
FAQ
Can AI fully understand human emotions?
AI is advancing in interpreting and predicting based on emotional data, but understanding emotions in their full complexity requires further development and ethical considerations.
Will AI replace human intuition and spontaneity?
While AI can predict certain behaviours, the unique aspects of human intuition and spontaneity are far more complex and not fully replicable by AI at this stage.
Can the advancement in AI be regulated to prevent privacy invasions?
Regulation is crucial but challenging, given AI’s fast-paced development and wide-reaching implications. Global dialogues and ethical frameworks are necessary for effective regulation.
Conclusion
The future of AI’s ability to understand and interact with human emotions paints a picture of immense potential tempered by significant challenges. While advancements in technology promise to bridge the gap between logical processing and emotional understanding, ethical considerations remain at the forefront of this journey.
The path ahead requires not only technological innovation but a collective effort to ensure that AI serves to enhance human experiences while respecting the depth and privacy of individual emotions.
Want to hear the whole podcast?
You can do here with the links being….
iTunes: https://bit.ly/3I7lg2e
Spotify: https://bit.ly/48mJznF
Amazon: https://bit.ly/48mk2Ls Google podcasts: https://bit.ly/2CMgN3u Subscribe: https://lnkd.in/dXV2RSk
Find out more about Paul on
The company LinkedIn page: https://www.linkedin.com/company/principlesandleadership/
And his personal page here Paul Spiers LinkedIn: https://www.linkedin.com/in/paulspiers/
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https://www.principlesandleadership.com/the-new-pl-deep-discussion
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References for the piece:
The New P&L Principles & Leadership in Business Podcast Series (principlesandleadership.com)
Future of Work, Technology And Digital Marketing Man Dan Sodergren
The Future of Work | Dan Sodergren | TEDxBrighton (youtube.com)
INTELLIGENCE — The Fifth Industrial Revolution
About The Author:
Ted X talker, keynote speaker, public speaker, serial tech startup founder, ex marketing agency owner, AI evangelist and now media spokesperson. Dan Sodergren’s main area of interest is the future of work, technology, AI and data. And those tech startups and ideas that are helping the world become a better place. Not only to work but to live as well.
Co-founder of several cutting edge before their time tech companies including www.YourFLOCK.co.uk — the employee feedback platform. And now The AI Marketing Course using AI to help entrepreneurs with their marketing. And the new AI Teacher Course helping teachers teach using AI too.
In his spare time, when not being a professional speaker for corporate clients and an author on technology and the future of work. Dan is a digital marketing and technology expert for TV shows and the BBC. Donning the cape of consumer champion and tech futurist on shows like BBC WatchDog, the One Show and RipOffBritain and being a marketing tech specialist for SuperShoppers and RealFakeAndUnknown and BBC Breakfast.
He is also a guest on podcasts and webinars public speaking as a tech futurist and advocate of responsible artificial intelligence. As well as being a guest on countless radio shows. And a remote reporter / content creator for tech companies at tech events and shows.
His main interest is in the future. Be that the future of marketing, or the future or work or how technology will change the world for the better under the #Tech4Good, #Tech4All, #AIforGood movements.
Find out more on bit.ly/DanSodergren
And BUY his books on https://futureofwork.gumroad.com/
