Navigating Risks and Opportunities in the 4th Industrial Revolution
Address the challenges of promoting AI opportunities while mitigating risks such as misuse, redundancy, and societal discord. Stakeholder and industry trend analysis are key in recommending strategies to tackle AI threats for a sustainable future.
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Presentation Transcript
4thindustrial Revolution Evolution To CEO of Element.AI From Aalto Consulting Aalto University School of Business
Executive summary Key challenge: How to promote the opportunities created by AI yet address perceived downsides? Risks important to acknowledge Target audience Partners creating change Communication plan focused on end-customers Executive summary
Agenda Analysis Alternatives Recommendation Conclusion
Industry trends: S-curve of innovation AI Automation Mass-production Main outcome: AI is the core of 4th industrial revolution Analysis Alternatives Executive summary Recommendation Conclusion
Risks associated with the growth of AI: Misuse of AI that will have negative effect in humanity, e.g. military Misuse of personal data, e.g. discriminative algorythms Make certain professions redundant Main outcome: AI presents threats along with opportunities Analysis Alternatives Executive summary Recommendation Conclusion
If all these are not tackled: We will realize all the negative effects that are predicted by the skeptical We will end up to a dystopic and discriminative society where data is used against peoples prosperity Fear will lead to enemity and consumers will oppose innovative products Main outcome: The risks created by Ai must be tackled otherwise they will lead to Dystopia Analysis Alternatives Executive summary Recommendation Conclusion
Stakeholder analysis High power End-customers Government Media Educational institutions Businesses High interest Analysis Alternatives Executive summary Recommendation Conclusion
Agenda Analysis Alternatives Recommendation Conclusion
Criteria 1 2 Power to change Interest Alternatives Executive summary Analysis Recommendation Conclusion
Alternatives Key step to do: Communication plan 3 alternative audiences to address: Government Media End-customers Alternatives Executive summary Analysis Recommendation Conclusion
Stakeholder analysis High power End-customers Government Media Educational institutions Businesses High interest Alternatives Executive summary Analysis Recommendation Conclusion
Stakeholder analysis High power End-customers Government Media Educational institutions Businesses High interest Alternatives Executive summary Analysis Recommendation Conclusion
Stakeholder analysis High power End-customers Government Media Educational institutions Businesses High interest Alternatives Executive summary Analysis Recommendation Conclusion
Agenda Analysis Alternatives Recommendation Conclusion
Recommendation Communication plan targeting skeptical audience that express fears and concerns about AI Recommendation Alternatives Executive summary Analysis Conclusion
Communication plan 1/2 Messages: AI used for improving living conditionse.g. medical applications Throughout the history professions come to a decline due to the progress of the civilizationbut new professions were created Legislation does and will in the future protect individuals from being exploited Recommendation Alternatives Executive summary Analysis Conclusion
Sponsorship for Universities 2/2 Educational institutions are prominent solutions for spreading the message e.g. Aalto university has a course filled with seminars and guest speakers who openly tackle the prejudgments and misbelieves of the public when it comes to AI Main outcome: Start collaboration with educational institutions Recommendation Alternatives Executive summary Analysis Conclusion
Partners Natural Unnatural Businesses that benefit from AI Consumers in favour of AI that can affect the opinion of sceptices Recommendation Alternatives Executive summary Analysis Conclusion
Implementation plan Action 2020 2021 2022 2023 Communication plan 1. Film videos 2. Video YouTube campaign 3. Feedback collection and evaluation 4. SMM campaign Sponsorship 1. Negotiating with universities 2. Sponsor courses and research 3. Evaluate results Recommendation Alternatives Executive summary Analysis Conclusion
Financial Analysis Financial Assumptions The average CAGR in the AI-industry is 21.6% The project will be funded with cash Educational sponsorship is going to cost 300k per University Marketing campaign is going to be funded by 15% of the total funds of the company Marketing costs are going to be evenly spread through the next 4 years 25% annually Recommendation Alternatives Executive summary Analysis Conclusion
Financial Analysis Key costs Costs in the educational system cover the course Elements of AI, after that the inclusion of similar courses to learning platforms Ending up with 27 university sponsorships Marketing costs are going to be distributed evenly and added if necessary 9.375 9.375 9.375 9.375 8.1 6.1 3.1 1.2 2020 2021 2022 2023 Educational sponsorships Marketing costs Recommendation Alternatives Executive summary Analysis Conclusion
Financial Analysis A dollar invested in AI today The industry is expected to realize a great era of growth A dollar will double it s value in 3 years Our analysis shows that if the Consumers are convinced about the Evolution of the future 2.2 1.8 1.5 1.2 2020 2021 2022 2023 Dollar value Recommendation Alternatives Executive summary Analysis Conclusion
Agenda Analysis Alternatives Recommendation Conclusion
Conclusion Key challenge: How to promote the opportunities created by AI yet address perceived downsides? Risks important to acknowledge Target audience Partners creating change Communication plan focused on end-customers Conclusion Alternatives Executive summary Analysis Recommendation
