Exploring Opportunities and Risks in Promoting Artificial Intelligence
The presentation delves into the opportunities and downsides of AI, discussing efficiency gains, data analysis, and risks associated with promoting AI. It highlights the importance of addressing transparency, privacy, and the potential risks of overpromising. Target audiences, decision-making processes, and natural partners in creating change are also analyzed.
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Presentation Transcript
Insper | Sao Paulo - Brazil AI ELEMENT presented to JF Gagne presenting by Decio Soares Nahana Caetano Romilson Teles Tobias Walzberg
Posed questions 1. How do we as a company an industry promote the opportunities created by AI yet address the perceived downsides? 2. What are the risks associated with that and what are the risks if we don t address it? 3. Who do we think is our target audience? 4. Who are our natural or unnatural partners in creating change?
Opportunities created by AI? Efficiency gains on operational tasks Data analysis and interpretation Result projections and problem anticipations: simulating in a safe environment Efficient forecasting and risk assessment due to mass effect Projections on behavior trends and simulations Widening of product offer (making services affordable for everyone) Cost reduction through simplification of services
Downsides to AI Blackbox softwares Data transparency and privacy Gaps and bugs in the programming Dependency on state-of-the-art hardware Machines failing less than humans, however at a larger scale Possible unwanted learning curves Unwarranted usage Reduction of human proximity leading to lack of accountability Removal from sentient decision making Misuse of technology is not guaranteed by the quality of it
Risks in promoting AI? Risks associated with promoting: To overpromise and underdeliver Easy target / scapegoat Taking blame for all problems Out in the open for questions without answers Conspiracy theories Risk associated with not promoting: Loss of trust Possibility to leverage alternative technologies Unwarranted usage without control / knowledge of the public
5 decision-making process Decision Makers Influencer Approval Buyer User Technological areas Executive commitee Large and global corporations Journalist Internal areas: Marketing HR Sales Operations IT area Legal departments End consumer
implementation plan
Marketing plan To mitigate the fear it is important to create a positive public opinion towards: Artificial intelligence Deep learning Machine learnig
Key messages Decision Makers Influencer Approval Buyer User Accelerate growth Increase results Improve revenues Accelerate growth Increase in sales Anticipate tendencies Increase of efficiency Provide gains of productivity Turn life easier Anticipate their needs Open new opportunities Missed opportunities Underestimate risks Open space for new competitors Increase of inneficiency Lost opportunities Necessity to create a data protection environment Data protection Lost of opportunities
Marketing plan Communications areas that will be prioritized Digital Marketing Direct Events PR Sponsorship communication Mailing to key influencers Tech Fairs Partnering with social influencers Universities Round table with journalists IT Commercial Events Events: specialized and not Mailing to specialized professionals Specialized key companies Partnering with keynote spreakers After event message reinforcement Supporting Universities
Partners IT industries AI providers IBM Search engines Google Hardware LG, Samsung, Natural partners Unnatural partners Consulting McKinsey, Bain Services Industries Universities Government Retail Specialized media Traditional media Other
Wrap-up 1. How do we as a company an industry promote the opportunities created by AI yet address the perceived downsides? 2. What are the risks associated with that and what are the risks if we don t address it? 3. Who do we think is our target audience? 4. Who are our natural or unnatural partners in creating change?
thank you merci beaucoup obrigado
