50 min
EP21: The Power of Responsible Innovation with M. Alejandra Parra-Orlandoni (MAPO) and Instilling Principles and Values into AI Solutions How to Talk to AI
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- Technology
Video version of this episode
1st ever Prompt Engineering Conference, Sponsored by Synthminds and Hosted by Wes & Goda
Join the Synthminds Discord Here
Synthminds & Synaptic Labs Present their new AI for Educators course, in partnership with BSD Education
2nd run of AI & ChatGPT for Everyone: sign up here and use code 'AI4ALL' for 10% off
FOR 15% OFF PROMPT PERFECT Click here & use code 'httta' at the checkout!
Need a custom fine-tuned chatbot that can be spun up and deployed in minutes? Use code "Synthminds15" at GPT Trainer
Podcast Page
HTTTA Newsletter
Professor Synapse Prompt
CallmeMAPO
Intro to Responsible AI Guide
Key takeaways:
1. The importance of understanding and addressing preconceived notions and judgments that others may have about us, as well as the ability to learn and grow from those experiences.
2. The need for accountability, transparency, and responsible use of data-driven technologies, particularly in the tech industry, to regain the trust of users and ensure ethical AI development.
3. The significance of integrating ethical principles and values into business models and product design, as well as having regular conversations and consistently focusing on these principles to make better decisions and create value for users and society.
[00:00:37] HTTTA: How to talk to AI Intro
[00:04:05] MAPO becomes interested in technology and AI.
[00:08:11] Person's leadership experience changes someone's perspective
[00:10:36] The complexities of ethical AI representation.
[00:15:20] No magic answer; responsible decision-making important.
[00:17:18] Building trust in AI is a smart business decision.
[00:22:11] Frequent conversations on principles for intuitive decision-making.
[00:25:58] Advice on open source vs closed source AI.
[00:32:30] Using simple analogies to understand AI.
[00:36:31] Reddit and OpenAI model data control.
[00:39:32] Privacy concerns persist around personalized data ads.
[00:40:52] Tech industry rebuilding trust after data concerns.
[00:46:56] Challenge dogmatic principles, focus on value creation.
#HTTTA #howtotalktoai #ai #artificialintelligence #promptengineering #prompt #research #nlp #openai #HTTTA #AI #businessinsights #GPT4
Happy Prompting Everybody!
Licensing Codes:
XE3PMH56JJN9LJ8B
ASLC-22DC2994-050B57C5D6
Video version of this episode
1st ever Prompt Engineering Conference, Sponsored by Synthminds and Hosted by Wes & Goda
Join the Synthminds Discord Here
Synthminds & Synaptic Labs Present their new AI for Educators course, in partnership with BSD Education
2nd run of AI & ChatGPT for Everyone: sign up here and use code 'AI4ALL' for 10% off
FOR 15% OFF PROMPT PERFECT Click here & use code 'httta' at the checkout!
Need a custom fine-tuned chatbot that can be spun up and deployed in minutes? Use code "Synthminds15" at GPT Trainer
Podcast Page
HTTTA Newsletter
Professor Synapse Prompt
CallmeMAPO
Intro to Responsible AI Guide
Key takeaways:
1. The importance of understanding and addressing preconceived notions and judgments that others may have about us, as well as the ability to learn and grow from those experiences.
2. The need for accountability, transparency, and responsible use of data-driven technologies, particularly in the tech industry, to regain the trust of users and ensure ethical AI development.
3. The significance of integrating ethical principles and values into business models and product design, as well as having regular conversations and consistently focusing on these principles to make better decisions and create value for users and society.
[00:00:37] HTTTA: How to talk to AI Intro
[00:04:05] MAPO becomes interested in technology and AI.
[00:08:11] Person's leadership experience changes someone's perspective
[00:10:36] The complexities of ethical AI representation.
[00:15:20] No magic answer; responsible decision-making important.
[00:17:18] Building trust in AI is a smart business decision.
[00:22:11] Frequent conversations on principles for intuitive decision-making.
[00:25:58] Advice on open source vs closed source AI.
[00:32:30] Using simple analogies to understand AI.
[00:36:31] Reddit and OpenAI model data control.
[00:39:32] Privacy concerns persist around personalized data ads.
[00:40:52] Tech industry rebuilding trust after data concerns.
[00:46:56] Challenge dogmatic principles, focus on value creation.
#HTTTA #howtotalktoai #ai #artificialintelligence #promptengineering #prompt #research #nlp #openai #HTTTA #AI #businessinsights #GPT4
Happy Prompting Everybody!
Licensing Codes:
XE3PMH56JJN9LJ8B
ASLC-22DC2994-050B57C5D6
50 min