Obvious and interesting point in this debate. I still don’t know why it matters why/how a decision gets made. For me, the question is only “is this the right decision?”. Poor or good reasons, even if we can know them, don’t justify or excuse a poor decision.
Incidentally, this is no different than how we think about human beings. The reasons for a decision might be interesting or even informative, but they don’t make the decision itself good or bad.
”Take the right to explainability of how an algorithm comes to a decision. ‘That’s virtually impossible when it comes to black-box models like... read more >
"Here, we focus on four superpowers that will help CEOs address the organizational upheavals around them: the competitive advantage of speed, the power of harnessing technologies that augment human capabilities, the importance of focusing on “forgotten” talent, and a new style of leadership that is more self-aware and in tune with the times."—All change: The new era of perpetual organizational upheaval
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"Two-thirds of them tell us that their organizations are overly complex and inefficient, while only about half say their organizations are well prepared for the change that is needed. Rather than facilitating delivery of mission and strategy, organizational structures are standing in their way."— All change: The new era of perpetual organizational upheaval
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Generative AI models, such as Stable Diffusion, are amplifying gender and racial biases in their outputs, according to an investigation by Bloomberg. The report found that the model depicted women and people of colour as underrepresented in high-paying jobs and overrepresented in low-paying ones. The model was also found to be inaccurate in its portrayal of skin tones and gender, and to have amplified stereotypes of race and gender in its outputs. The report warns that the use of such models in policing and other areas could exacerbate existing biases in the criminal justice system.
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"The essence of MC reflects competencies required by the industry. Further, it reflects a trend toward on-demand, short-form skills development focused on competencies and specific abilities."—Microcredentials: Why Industry Is in the Driver’s Seat
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“Enter the most aspirational description of effective executive assistants: to become extended brains (and therefore extended doers, speakers, and listeners) for the leaders they support.”—Making the Case for Effective Assistants
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A useful model, not just for school leaders.
“when supported by effective executive assistants, school leaders will be prepped on the way into meetings, present when in those meetings, and pushed forward by those meetings”—Making the Case for Effective Assistants
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The AI in Business Trend Report 2023 surveyed 500 tech professionals to get their take on generative AI in the workplace. Over half of the respondents reported using generative AI, with Chat GPT, CopyAI, and Jasper noted as the top three writing tools. Millennials and Gen Z showed the highest usage, averaging a 58% adoption rate. An average of 61.5% of companies between 11-1000 employees currently use generative AI in the workplace. Overall, the top five biggest use cases for gen AI in the workplace are creative writing, email marketing, idea generation, blog posts, and writing product... read more >
This is a good argument to just keep running with things. It's inevitable that we would get too much wrong if we tried to engineer the job market to prevent impact from AI.
“It’s understandable that we might want to steer or shape the development of AI technology so that it maximizes the benefits for workers, and avoids the “replacement” part. But there is a big problem with the idea — namely that no one, including Daron Acemoglu or any economist, has any idea how to predict which technologies will augment humans and which will simply replace their labor.”—Why trying to shape AI innovation to...... read more >
“Too often, this happens because the busiest people in an organization are often the same people who need to give final approval to, or budgetary support for, an idea. Or, they don’t believe that they have the time to explain to someone else how a project should be done. To coin a kind of reverse power law, there’s probably a lot of untapped value in most schools simply because the person in charge doesn’t have fifteen minutes (right now) to activate that value, see it through, and as a result, save fifteen hours (over the next six months).”—Making the Case for Effective Assistants
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