AI-related projects are not typical IT projects with a traditional waterfall approach. My conversation with Lisa Palmer, Chief AI Strategist & Ethicist, AI Leaders focused around her recent doctorial thesis and research on 'Artifical Intelligence: Are For-Profit Entities using the "Do the right thing' goverance to drive business results"
When her customers claimed they were 'doing the right thing', Lisa wanted to take that further i.e. 'What does that really mean and more importantly, what does the customer believe that means? This led to her doctoratal statement and how companies are:
1. Making decisions
2. Taking action
3. The results of those actions
AI Technologies are still reletatively new in how they are being used in for-profit entities. She turned to podcasts to collect the foundational data related to her thesis statements for recent and relevant information. Listening to 172 podcast episodes and narrowing this down to 46 specific scenarios included in her study, covering a date range from the last 3 years up to April 2022.
There are 3 ways AI technologies are being used in enterprise companies:
1. Efficiency of processes
2. Revenue opportunities
3. Risk Avoidance
Other questions discussed during this episode: -Self-adopted policies - What are companies actually doing from a policy perspective? -What are the types of companies which are doing this well? -Is the AI champion a benefit to the enterprise organization, or are there unintended consequences -What about companies that are focused too broadly? -What is a reoccurring theme for successful companies? -How important is the quality of diversity in viewpoints or successful companies? -How influential is company culture when executing AI-related technologies? -Can AI policy and regulation restrict our ability to innovate? -Is there a disadvantage to the US which is not writing AI-related policies and regulations but instead -This remains a fluid topic. What do we need to address in 2022-2023?