9 Deploying Artificial Intelligence ^Top put to use in high-stakes applications such as law enforcement, the potential for negative consequences goes up exponentially.15 Ethics and responsibility of AI have to hence be clearly defined in the firm’s AI strategy. This all gets even trickier as multinational firms navigate privacy laws that differ across countries. Successful use cases of AI show that having a vision, clarifying the objective of what and why to stakeholders, bringing required skill sets together, and putting in place technological requirements such as data and IT infrastructure are keys to success. We’ll discuss this in this paper, but first, a quick note on what AI cannot do, yet.  What Can AI Not Do, Yet? T he answer: Be a human. AI is typically classified under two domains: artificial general intelligence (AGI), referred to as strong AI, and artificial narrow intelligence (ANI), called weak AI. Weak AI works only in the particular application it was designed for. Strong AI can apply its knowledge elsewhere, make its own plans based on its experiences, have independent consciousness, and adapt to changing environment.16 The spectrum of AI applications that we see today, ranging from simple manufacturing automation to advanced machine learning applications that far surpass human abilities, lies between ANI and AGI. 15 Thomas Brewster, “These Ex-Spies Are Harvesting Facebook Photos For A Massive Facial Recognition Data- base,” Forbes, April 16, 2018, https://www.forbes.com/sites/thomasbrewster/2018/04/16/huge-facebook-fa- cial-recognition-database-built-by-ex-israeli-spies/. An Israeli firm, Terrogence (owned by Verint), has been building a facial recognition database from Facebook and other social media. Harvesting publicly available images for surveillance and spying raises potential negative consequences, especially in the case of Verint, which is a vendor to the U.S. govt. and misidentification can lead to misjudgments. 16 Kathleen Walch and Ronald Schmelzer, “Weak, Strong AI – Do these Terms Matter?,” in AI Today Podcast, pod- cast, 15:08, https://www.cognilytica.com/2017/10/25/ai-today-podcast-008-weak-strong-ai-terms-matter/. J Matthew Helm et al., “Machine Learning and Artificial Intelligence: Definitions, Applications, and Future Direc- tions,” Current Reviews in Musculoskeletal Medicine 13, no. 1 (2020): 69-76, https://doi.org/10.1007/s12178-020- 09600-8.